Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…

This study explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…

Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…

This article presents a "knowledge ecosystem" model of how early career academics experience using information to learn while building their social networks for developmental purposes. Developed using grounded theory methodology, the model offers a way of conceptualising how to empower early career academics through (1) agency…

Marketing specialists have recently redefined the roles customers and enterprises play in the economy. Modern customers are connected, informed, mobile, educated and internationally oriented. They seek enterprises that empower them to co-construct personalised experiences. This view of the customer-enterprise relationship has a great impact on the…

This article presents two current research trends in e-learning that at first sight appear to compete. Competence-Based Knowledge Space Theory (CBKST) provides a knowledge representation framework which, since its invention by Doignon & Falmagne, has been successfully applied in various e-learning systems (for example, Adaptive Learning with…

This document reports on the development of an apprenticeship work-study model--a new model for training personnel for educational research and development. The model provides short-term training in applied research and development (R & D) for persons holding B.A. and M.A. degrees by featuring individualized learning and "real-time" experience on…

Using a four-year (1970-74) pedagogical developmental project (Brovst, Denmark), discusses crucial concepts/aspects of educational change (construction of knowledge, meaning of harvested experiences, relationship between aims and strategies). Discusses teaching strategies: negative stipulation (changing relation between children and reality)…

This eleventh in a series of eleven learning modules on program planning, development, and evaluation is designed to assist secondary and postsecondary vocational teachers in planning and conducting locally directed and product-oriented program evaluation. Introductory sections relate the competencies dealt with here to others in the program and…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…

An operational model developed as a result of a systematic analysis of three distinctly different Antioch centers--Juarez Lincoln University, Philadelphia Graduate Center, and Antioch-New England (the Keene Center)--is presented. Juarez Lincoln offers a 15-month program leading to the Master of Education degree. Many of the students are Mexican…