Dissertations / Theses on the topic 'Learning with pre-built models'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 33 dissertations / theses for your research on the topic 'Learning with pre-built models.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
Thompson, Kate. "Models as mindtools for environmental education: How do students use models to learn about a complex socio-environmental system?" University of Sydney, 2008. http://hdl.handle.net/2123/3608.
Full textEnvironmental issues are complex and understanding them involves integration of different areas of knowledge, feedback and time delays, however strategies to cope with complexity are not often used or taught in environmental education. The aim of this thesis is to examine the benefit of three such strategies for environmental education: multiple external representations, learning from models, and collaborative learning. The socio-environmental system modelled was visitor impact in a national park in Australia. Students in Year 9 and 10 from two schools were given a text description (Text group) and either a system dynamics model (SDM group), an agent-based model (ABM group), or both models (SDM & ABM group). This experimental design allowed learning outcomes (environmental and system dynamics knowledge, and understanding of the socio-environmental system) and use of the model(s) (in terms of the proportion of time spent on each screen, activities, and strategies) to be compared in each learning environment (individual and collaborative). Multiple external representations were the most successful strategy in the individual learning environment in terms of increases in environmental knowledge. However, students given only the system dynamics model had greater understanding of the system, and students given only the agent-based model increased environmental knowledge easily identified in the animated representation. Prior knowledge, patterns of use, strategies for changing variables and the representational affordances of the models explained some of these differences. In particular, prior knowledge was an important indicator of how students coordinated use of the models in the SDM & ABM group. Learning with a system dynamics model was the most successful strategy for students in the collaborative learning environment. Differences between the learning environments were detected in all groups with respect to both learning outcomes and use of the models due to prior knowledge, interrogation of the models, and the learning environments themselves. These experiments have provided evidence that strategies for understanding complex systems provide viable methods of communicating complex ideas to school-aged students with varying levels of prior knowledge. In particular, multiple external representations provided students with flexibility in how they learned; models allowed students to experiment with a system otherwise not allowed; and a collaborative learning environment facilitated students’ interpretation of a system dynamics model.
Thompson, Kate. "Models as mindtools for environmental education: How do students use models to learn about a complex socio-environmental system?" Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/3608.
Full textBitter, James. "Integrative Family Therapy and Counseling: Advanced Practices Across Multiple Theoretical Models (Pre-Convention Learning Institute)." Digital Commons @ East Tennessee State University, 2009. https://dc.etsu.edu/etsu-works/6111.
Full textJahanshahi, Kaveh. "Quantification of the influences of built-form upon travel of employed adults : new models based on the UK National Travel Survey." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/267841.
Full textDureckova, Hana. "Robust Machine Learning QSPR Models for Recognizing High Performing MOFs for Pre-Combustion Carbon Capture and Using Molecular Simulation to Study Adsorption of Water and Gases in Novel MOFs." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37288.
Full textHolm, Henrik. "Bidirectional Encoder Representations from Transformers (BERT) for Question Answering in the Telecom Domain. : Adapting a BERT-like language model to the telecom domain using the ELECTRA pre-training approach." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301313.
Full textDubbelriktade språkmodeller som BERT har på senare år nått stora framgångar inom språkteknologiområdet. Flertalet vidareutvecklingar av BERT har tagits fram, bland andra ELECTRA, vars nyskapande diskriminativa träningsprocess förkortar träningstiden. Majoriteten av forskningen inom området utförs på data från den allmänna domänen. Med andra ord finns det utrymme för kunskapsbildning inom domäner med områdesspecifikt språk. I detta arbete utforskas metoder för att anpassa en dubbelriktad språkmodell till telekomdomänen. För att säkerställa hög effektivitet i förträningsstadiet används ELECTRA-modellen. Uppnådd prestanda i måldomänen mäts med hjälp av ett frågebesvaringsdataset för telekom-området. Tre metoder för domänanpassning undersöks: (1) fortsatt förträning på text från telekom-området av en modell förtränad på den allmänna domänen; (2) förträning från grunden på telekom-text; samt (3) förträning från grunden på en kombination av text från telekom-området och den allmänna domänen. Experimenten visar att metod 1 är både kostnadseffektiv och fördelaktig ur ett prestanda-perspektiv. Redan efter kort fortsatt förträning kan tydliga förbättringar inom frågebesvaring inom måldomänen urskiljas, samtidigt som generaliserbarhet kvarhålls. Tillvägagångssätt 2 uppvisar högst prestanda inom måldomänen, om än med markant sämre förmåga att generalisera. Metod 3 kombinerar fördelarna från de tidigare två metoderna genom hög prestanda dels inom måldomänen, dels inom den allmänna domänen. Samtidigt tillåter metoden användandet av ett tokenizer-vokabulär väl anpassat för båda domäner. Sammanfattningsvis bestäms en domänanpassningsmetods lämplighet av den respektive situationen och datan som tillhandahålls, samt de tillgängliga beräkningsresurserna. Resultaten påvisar de tydliga vinningar som domänanpassning kan ge upphov till, även då frågebesvaringsuppgiften lärs genom träning på ett dataset hämtat ur den allmänna domänen på grund av otillräckliga mängder frågebesvaringsdata inom måldomänen.
Bjöörn, Anton. "Employing a Transformer Language Model for Information Retrieval and Document Classification : Using OpenAI's generative pre-trained transformer, GPT-2." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281766.
Full textInformationsflödet på Internet fortsätter att öka vilket gör det allt lättare att missa viktiga nyheter som inte intresserar en stor mängd människor. För att bekämpa detta problem behövs allt mer sofistikerade informationssökningsmetoder. Förtränade transformermodeller har sedan ett par år tillbaka tagit över som de mest framstående neurala nätverken för att hantera text. Det här arbetet undersöker hur väl en sådan språkmodell, Open AIs General Pre-trained Transformer 2 (GPT-2), kan generalisera från att generera text till att användas för informationssökning och klassificering av texter. För att utvärdera detta jämförs en transformerbaserad modell med en mer traditionell Term Frequency- Inverse Document Frequency (TF-IDF) vektoriseringsmodell. Målet är att klargöra hur användbara förtränade transformermodeller faktiskt är i skapandet av specialiserade informationssökningssystem. Den minsta versionen av språkmodellen GPT-2 anpassas och tränas om till att ranka och klassificera nyhetsartiklar, skrivna på engelska, och uppnår liknande prestanda som den TF-IDF baserade modellen. Den GPT-2 baserade modellen hade i genomsnitt 0.74 procentenheter högre Normalized Discounted Cumulative Gain (NDCG) men provstorleken var ej stor nog för att ge dessa resultat hög statistisk säkerhet.
Gustafson, Nathaniel Lee. "A Confidence-Prioritization Approach to Data Processing in Noisy Data Sets and Resulting Estimation Models for Predicting Streamflow Diel Signals in the Pacific Northwest." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3294.
Full textBokosmaty, Rena. "Student learning experiences with the online component of a partially flipped teaching model." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29916.
Full textNivens, Ryan Andrew, and Renée Rice Moran. "Beyond Problem-Based Learning: How a Residency Model Improves the Education of Pre-Service Teachers." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/221.
Full textNivens, Ryan Andrew, and Renée Rice Moran. "Beyond Problem-based Learning: How a Residency Model Improves the Education of Pre-service Teachers." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/289.
Full textLin, Lyu. "Transformer-based Model for Molecular Property Prediction with Self-Supervised Transfer Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284682.
Full textPrediktion av molekylers egenskaper har en stor mängd tillämpningar inom kemiindustrin. Kraftfulla metoder för att predicera molekylära egenskaper kan främja vetenskapliga experiment och produktionsprocesser. Ansatsen i detta arbete är att använda överförd inlärning (eng. transfer learning) för att predicera egenskaper hos molekyler. Projektet är indelat i två delar. Den första delen fokuserar på att utveckla och förträna en modell. Modellen består av Transformer-lager med attention- mekanismer och förtränas genom att återställa maskerade kanter i molekylgrafer från storskaliga mängder icke-annoterad data. Efteråt utvärderas prestandan hos den förtränade modellen i en mängd olika uppgifter baserade på prediktion av molekylegenskaper vilket bekräftar fördelen med överförd inlärning.Resultaten visar att modellen efter självövervakad förträning besitter utmärkt förmåga till att generalisera. Den kan finjusteras med liten tidskostnad och presterar väl i specialiserade uppgifter. Effektiviteten hos överförd inlärning visas också i experimenten. Den förtränade modellen förkortar inte bara tiden för uppgifts-specifik inlärning utan uppnår även bättre prestanda och undviker att övertränas på grund otillräckliga mängder data i uppgifter för prediktion av molekylegenskaper.
Kinley. "Beliefs, knowledge and skills of pre-service mathematics teachers when learning calculus through a technology-enhanced inquiry." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/213589/1/_Kinley_Thesis.pdf.
Full textJohnston, Christopher J., and Patricia Moyer-Packenham. "A Comprehensive Model for Examining Pre-Service Teachers' Knowledge of Technology Tools for Mathematical Learning: The T-MATH Framework." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-82604.
Full textEmmett, David John. "Student engagement with an ePortfolio : a case study of pre-service education students." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/40957/1/David_Emmett_Thesis.pdf.
Full textLeonard, Jill T. "Professional Learning Communities as a Professional Development Model Focusing on Instructional Practices Used to Teach Writing in Early Childhood." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etd/2577.
Full textGerima, Kassaye. "Night Setback Identification of District Heating Substations." Thesis, Högskolan Dalarna, Mikrodataanalys, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:du-36071.
Full textMassaccesi, Luciano. "Machine Learning Software for Automated Satellite Telemetry Monitoring." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20502/.
Full textArtchounin, Daniel. "Tuning of machine learning algorithms for automatic bug assignment." Thesis, Linköpings universitet, Programvara och system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230.
Full textEasler, Shelley L. "Barriers to Facilitating an Existing Certified Nature Explore Outdoor Classroom." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1885.
Full textScott-Parker, Bridie Jean. "A comprehensive investigation of the risky driving behaviour of young novice drivers." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/59638/1/Bridie_Scott-Parker_Thesis.pdf.
Full textCebola, John Michael Salgado. "Pre-trained Convolutional Networks and generative statiscial models: a study in semi-supervised learning." Master's thesis, 2016. https://repositorio-aberto.up.pt/handle/10216/88482.
Full textCebola, John Michael Salgado. "Pre-trained Convolutional Networks and generative statiscial models: a study in semi-supervised learning." Dissertação, 2016. https://repositorio-aberto.up.pt/handle/10216/88482.
Full text(9826772), Josua Pienaar. "Understanding progression in the built environment through an interactive student-centred model of progression." Thesis, 2015. https://figshare.com/articles/thesis/Understanding_progression_in_the_built_environment_through_an_interactive_student-centred_model_of_progression/13436036.
Full textCHANG, KO-CHING, and 張克敬. "Using UTAUT Model to Study the User Intention – A Case of Learning System Built in Direct Selling Industry." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/566egc.
Full text中國文化大學
國際企業管理學系碩士在職專班
104
Lifestyles nowadays have undergone a tremendous change with the rapid development of wireless network as well as mobile technology, which also influenced the humanity’s way of learning. Learning is no longer confined in an existing classroom; instead, mobile learning which possesses mobility, convenience and expediency, have developed into a new approach of digital learning in the current age. While enterprises constantly pursue sustainable management, rapid learning and knowledge innovation, as a matter of fact, are the only crucial factors for an enterprise to establish long-term competitive advantage. Due to this reason, making use of mobile learning system is of immense importance to the need of rapid learning in enterprises. Trainings in direct selling industry, likewise, surmount the traditional mode by applying mobile learning platforms, offering distributors an immediate, convenient approach of learning. As yet, the objects of numerous literatures on studying the behavior of using mobile learning are mostly students. There are relatively less studies on the usage of mobile learning in enterprises, not to mention in direct selling. Hence, based on the unified theory of acceptance and use of technology (UTAUT), the purpose of this study is to investigate and understand the usage of distributors using the mobile learning system from direct selling industry which already have the system built in for two years. vi A total of 663 effective samples were collected from the distributors who have already used the mobile learning system built by a direct selling industry. Through the analysis and research by SPSS 22, the results are as follows: 1. Performance expectancy has a significant and positive effect on the use behavior and intention of the users of mobile learning system. 2. Effort expectancy has a significant and positive effect on the use behavior and intention of the users of mobile learning system. 3. Social influence has a significant and positive effect on the use behavior and intention of the users of mobile learning system. 4. Facilitating condition has a significant and positive effect on the use behavior of the users of mobile learning system. 5. Behavior intention has a significant and positive effect on the use behavior of the users of mobile learning system. In an attempt to increase users’ intention to use mobile learning system, the user interface of the platform ought to be easier to manipulate, and the course contents brief and simple. Meanwhile, we should let users understand the benefits of learning through this system, via the reviews from the users who found it effective. In this way, we are able to improve the simplicity of mobile learning system as well as working efficiency, and further increase the usage intention and rate.
Babaee, M. "The role of e-portfolios in higher education : the experience of pre-service teachers." Thesis, 2017. https://eprints.utas.edu.au/23949/1/Babaee_whole_thesis.pdf.
Full textWang, Kuei-Yuan, and 王奎元. "Pre-service Physical Education Teachers Learn to Teach with the Cooperative Learning Instruction Model." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/73478329493446924184.
Full text國立臺灣師範大學
體育學系
103
The purpose of the study was to investigate how pre-service PE teachers perceive and implement the Cooperative Learning Instruction Model (CLIM) in physical education during their 5 weeks teaching practicum in a secondary school. Four pre-service PE teachers were participants of the study. Each pre-service PE teachers had 2 lessons per week (total 9 lessons). Focus-group interviews, Semi-structured interviews, class observation, and reflection journals were used to collect data. The interview data were transcribed in order to further comparison, integration and analysis. The interview data were transcribed for further comparison, integration and analysis. Results were showed that (1) before the implementation of CLIM: pre-service PE Teachers hold suspect attitudes toward this instructional model; (2) During the implementation of CLIM: pre-service PE teachers could follow the instructional steps, however, But for students learning motor skills more dissatisfied, Although the perception of the development of social skills and thinking skills, but there was also a need for developing their observation, interpretation and teaching decision competencies; (3) after the implementation of CLIM: pre-service PE teachers recognized CLIM as a effective way for learning, though the grouping skills and quick decision ability while teaching would be need for developing .
Haith-Cooper, Melanie. "Designing an innovative model to stimulate learning in pre-registration midwifery; ‘The pregnant woman within the global context’ PechaKucha presentation." 2014. http://hdl.handle.net/10454/6735.
Full textVilla, Genny. "E-Learning culture : operationalization of a systemic model to support ICT-Integration in pre-service teacher trainers’ practice." Thèse, 2016. http://hdl.handle.net/1866/19019.
Full textIn today's knowledge society, ICT has become essential for teachers and learners (BECTA, 2009) not only because of the need for children to acquire and develop skills that will help them grow as collaborative, problem-solving, creative learners (UNESCO, 2011; Dede, 2014), but also because of the potential value of such technologies as tools for learning (Gill and Dalgarno, 2008). However, when looking at the current educational ICT uses reported by research conducted with teachers and students, (Karsenti and Lira, 2010; Villeneuve et al., 2012) and the low impact observed on learning - despite the substantial investment in equipment and material -we can only question the possible reasons for such a situation. One of the causes identified in the literature is teacher training, especially in its content and the training strategies adopted by teacher educators (Angeli, 2009; Enochson, and Rizza, 2009). We developed a training intervention to operationalize the IntersTICES model (Peraya and Viens 2005) and help teacher trainers integrate ICT in their teaching practice. This operationalization involving teachers working in the teacher training program at Université de Montreal, put into perspective the importance of teacher trainers’ e-learning culture, personal support and follow-up interventions for activities including pedagogical use of ICT. The research focused on analyzing the impact of the training intervention on participants’ e-learning culture, as well as on their intention to adopt and use ICT in their courses. Findings suggest that the operationalization of the IntersTICES model via an interactive training intervention, can provide teacher trainers with an opportunity for reflection and awareness about their personal representations regarding every aspect of their e-learning culture. Furthermore, it helped teacher trainers becoming aware of the impact their e-learning culture has on their practice throughout and at any stage of the development and implementation of their chosen activity integrating ICT.
Lopes, Joana Maria Estalagem. "Predicting prepayment in home loans: Modelling full and partial prepayment in the Portuguese banking sector using machine learning methods." Master's thesis, 2022. http://hdl.handle.net/10362/136698.
Full textExiste um pré-pagamento quando ocorre um reembolso antecipado de um empréstimo por parte do tomador, i.e., o tomador paga mais que o montante contratual acordado. Tal pode ocorrer como parte do principal em dívida (reembolso parcial) ou o valor total do principal em dívida (reembolso total). Do ponto de vista de um banco, o estudo do reembolso antecipado - seja total ou parcial - é importante, pois resulta numa mudança nos fluxos de caixa calendarizados. Em particular, há uma diminuição nos fluxos de caixa futuros resultantes de um evento futuro desconhecido. Assim, o principal objetivo deste estudo é a modelação dos eventos de pré-pagamento no crédito à habitação de um grande banco português, através de uma abordagem de machine learning, avaliando o seu desempenho através da utilização de técnicas como a Area Under the Receiver Operating Characteristic Curve (ROC), o gain or lift e Kolmogorov-Smirnov. Tal permite o estudo do fenómeno das amortizações antecipadas (ou pré-pagamentos) no mercado Português, utilizando dados reais, e através de modelos de machine learning. Uma vez que foram utilizados dados reais, a primeira parte deste estudo prendeu-se com o préprocessamento dos dados, de modo a garantir que os modelos não incluíam ruído e problemas de qualidade de dados. A segunda parte prendeu-se com a computação dos modelos de machine learning, testando modelos de artificial neural network e random forest, com a comparação da performance destes através de métricas como o ROC, gain or lift e Kolmogorov-Smirnov. Os resultados obtidos revelam que os modelos de pré-pagamento total e parcial apresentam bom desempenho nas três métricas de desempenho analisadas. Ambos os modelos apresentam resultados positivos e demonstram que os modelos apresentam bons resultados preditivos e capacidade discriminatória, sendo o modelo de amortização parcial superior ao modelo de amortização total, com uma diferença que, embora não muito grande, merece destaque. Este estudo é particularmente relevante dada a sua análise num banco português, e a aplicação de modelos de machine learning na modelação de pré-pagamento, para os quais os estudos são escassos. Por outro lado, têm recentemente ocorrido esforços (por parte do banco onde o estudo se encontra incluído) para a atualização dos modelos tradicionais atualmente em vigor.
There is a loan prepayment when there is an early repayment of a loan from the borrower, i.e. the borrower pays more than the contractual amount due. The repayment may be part of the outstanding principal (partial repayment) or the total principal outstanding (full repayment). From a Bank’s perspective, the study of early repayment – be it full or partial – is relevant as they result in a change in the schedule cash flows. In particular, there is a decrease in the future cash flows resulting from an unknown future event. Hence, the primary purpose of this study is the modelling of the prepayment events in the mortgage loans of a large Portuguese bank, through a machine learning approach, assessing its performance through the use of techniques such as the Area Under the Receiver Operating Characteristic Curve (ROC), the Gain or Lift, and Kolmogorov-Smirnov statistic. This allows for the test of the prepayment phenomena in the Portuguese reality, using real Bank data, and through the use of machine learning models. As there was a use of real-life data, the first part of this study implied the pre-processing of the data, to ensure that the noise and data quality problems were not part of the models. The second stage implied the computation of the machine learning models, which occurred through the testing of Artificial Neural Network and Random Forest models, with the comparison of its performance using the ROC, Gain or Lift and Kolmogorov-Smirnov statistic. The results obtained reveal that both the total and partial prepayment models perform well in all the three performance metrics analysed. Both models present positive results and demonstrate that the models have good predictive results and discriminatory capacity. The partial repayment model is superior to the full repayment model, with a difference that is worthy of mention although not very large. This study is particularly relevant given its analysis in a Portuguese bank and the application of machine learning models in modelling prepayment, for which studies are scarce. Furthermore, there have been occurring efforts (in the bank where this study is framed) to update the traditional models currently in force.
Abd, Karim Zulakbal Bin. "Development characteristics of football coaches in Australia and Malaysia." Thesis, 2016. https://vuir.vu.edu.au/32214/.
Full textFish, Washiela. "Non-euclidean geometry and its possible role in the secondary school mathematics syllabus." Diss., 1996. http://hdl.handle.net/10500/16789.
Full textMathematics Education
M. Sc. (Mathematics)
Heckroodt, Annétia Sophia. "Evaluering van skoolbeginners met die oog op effektiewe aanvangsonderrig." Diss., 1995. http://hdl.handle.net/10500/16926.
Full textText in Afrikaans
With compulsory education in the New South· Africa, an increase in the number of school beginners can be expected, together with the probability of large gaps in their readiness for school. In £his study, materials have been developed together with a structure for the organisation of teaching_~!?.r trainers/subject advisers, teachers and pupils, to ensure effective education for school beginners. The "Battery for the Assessment of Bridging period Yields" (BABY) has been developed as a valid, realiable and usable school readiness battery of tests for teachers as unregistered test users. The Pre-Test for division into homogeneous ability groups is applied shortly after entrance to school. The Battery of Diagnostic Tests ensures continuous evaluation of pupils during the school readiness programme. The Post-Test is applied at the end of the first term. In this dynamic interaction between tester and pupil in an instruction-test-instruction cycle, the pupils' readiness to progress with formal instruction is continuously evaluated.
Met verpligte onderwys in die Nuwe Suid-Afrika, kan 'n toename in die getal swart skoolbeginners ve:wag word, asook dat daar in hulle skoolvoorbereiding groot leemtes kan voorkom. In die onderhawige studie is hulpmiddels en 'n struktuur vir onderwysorganisasie vir opleiers/vakadviseurs, onderwyseresse en leerlinge ontwikkel om aan skoolbeginners effektiewe onderwys te verseker. Die "Battery for the Assessment of Bridging period Yields" (BABY), 'n geldige, betroubare en bruikbare skoolgereedheidstoetsbattery vir onderwyseresse as ongeregistreerde toetsgebruikers, is ontwikkel. Die Voortoets vtr indeling in homogene bevoegdheidsgroepe word kort na skooltoetrede toegepas. Die Diagnostiese Toetsbattery verseker deurlopende evaluering van leerlinge gedurende die skoolgereedmakingsprogram. Die Natoets word aan die einde van die eerste kwartaal toegepas. In hierdie dinamiese interaksie tussen toetser en leerling in 'n onderrig-toets-onderrig siklus, word leerlinge se gereedheid om met formele onderrig voort te gaan, deurlopend geevalueer.
Psychology og Education
M. Ed. (Psychology of Education)