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Direct linkWenting Song; Jeannine E. Turner – Foreign Language Annals, 2025
This study explored Chinese heritage language learners' prior Mandarin experiences and their current Mandarin-learning experiences to reveal factors that influence their motivation and intention to continue or discontinue their Mandarin coursework. Using a Grounded Theory approach, we conducted demographic surveys and semi-structured interviews…
Descriptors: Heritage Education, Learning Motivation, Mandarin Chinese, Second Language Learning
Perkins, David N.; Salomon, Gavriel – Educational Psychologist, 2012
We synthesize ideas from the foregoing articles in this special issue and from the broader literature on transfer to explore several themes. In many ordinary life circumstances, transfer proceeds easily, but formal learning often shows much less transfer than educators would like, making failure to transfer a focus of investigation. Transfer, like…
Descriptors: Prior Learning, Epistemology, Transfer of Training, Cognitive Processes
Balgopal, Meena M.; Montplaisir, Lisa M. – Instructional Science: An International Journal of the Learning Sciences, 2011
The process of reflective writing can play a central role in making meaning as learners process new information and connect it to prior knowledge. An examination of the written discourse can therefore be revealing of learners' cognitive understanding and affective (beliefs, feelings, motivation to learn) responses to concepts. Despite reflective…
Descriptors: College Science, Prior Learning, Learning Motivation, Ecology
Download full textSafuanov, Ildar S. – International Group for the Psychology of Mathematics Education, 2004
In this theoretical essay the psychological aspects of genetic approach to teaching mathematics (mainly at universities) are discussed. Analysis of the history and modern state of genetic teaching shows that its psychological aspects may be explained using both Vygotskian and Piagetian frameworks. Experience of practice of mathematical education…
Descriptors: Teaching Methods, Genetics, Mathematics Instruction, Higher Education
Peer reviewedDraper, Stephen W.; And Others – Computers & Education, 1996
Reviews evaluations of CAL (computer-assisted learning) in use at the University of Glasgow (Scotland). Topics include methods used; prior knowledge; learning motivation; attitude measures; confidence logs; knowledge quizzes; study habits; Hawthorne effects; formative, summative, illuminative, and integrative evaluation; quality assurance…
Descriptors: Attitude Measures, Computer Assisted Instruction, Evaluation Methods, Foreign Countries
Peer reviewedCurrall, Steven C.; Kirk, Roger E. – Modern Language Journal, 1986
Describes an investigation of whether grades in an intensive French course could be predicted by combining information obtained in a brief interview conducted by the teacher with information from academic records. Results showed that overall grade point average is the best single predictor of performance in foreign language courses. (SED)
Descriptors: Academic Records, Aptitude Tests, French, Grade Point Average
Eraut, Michael; Maillardet, Fred; Miller, Carolyn; Steadman, Stephen; Ali, Amer; Blackman, Claire; Furner, Judith – 2003
Learning in the first professional job was examined in a study of 40 nurses, 27 engineers, and 16 accountants who were in their first full year of full-time employment after college in hospitals and firms located in the United Kingdom. Data were collected through the following activities: (1) interviews with the respondents; (2) 1- to 2-day visits…
Descriptors: Accountants, Apprenticeships, Case Studies, College Graduates
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
