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Rusty Dolleman – ProQuest LLC, 2022
Prior Learning Assessment (PLA) is a term for various methods by which universities accredit student experiential learning. One such method is the academic portfolio, a written reflective process in which students demonstrate that their personal or professional learning fulfills university outcomes. Proponents of academic portfolios claim that…
Descriptors: Undergraduate Students, Adult Students, Prior Learning, Student Evaluation
Lifen, He; Junying, Yong – English Language Teaching, 2016
Perception is the reconstruction and interaction between the new information and prior knowledge in mind or in the process of internalization about the new information. It has three teaching procedures: First, teachers elicit the learners to acquire text meaning. Second, teachers create situation in practical teaching. Third, learners comprehend…
Descriptors: Foreign Countries, Middle Schools, English (Second Language), Second Language Instruction
Pedler, Mike; Hsu, Shih-wei – Action Learning: Research and Practice, 2014
This paper explores the idea of unlearning in Critical Action Learning (CAL) as applied to the wicked problems of organisations and societies. It draws on data and ideas developed during a research project conducted for "Skills for Care" by Pedler, Abbott, Brook and Burgoyne ("Skills for Care" 2014) and from experiences on…
Descriptors: Experiential Learning, Social Work, Caseworkers, Learning
Khunyakari, Ritesh P. – Contemporary Education Dialogue, 2015
Enabling learning through meaningful classroom experiences has always been a challenge for teachers. Bringing about a balance of the "conceptual" and the "hands-on", along with contextual embeddedness in problem-solving situations, broadly characterises the experience of development and trials of three Design and Technology…
Descriptors: Foreign Countries, Middle School Students, Experiential Learning, Problem Solving
Bringula, Rex P.; Basa, Roselle S.; Dela Cruz, Cecilio; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2016
This study attempted to determine the influence of prior knowledge in mathematics of students on learner-interface interactions in a learning-by-teaching intelligent tutoring system. One hundred thirty-nine high school students answered a pretest (i.e., the prior knowledge in mathematics) and a posttest. In between the pretest and posttest, they…
Descriptors: Mathematics, Tutoring, Mathematics Instruction, Foreign Countries
Hung, Pi-Hsia; Hwang, Gwo-Jen; Lee, Yueh-Hsun; Wu, Tsung-Hsun; Vogel, Bahtijar; Milrad, Marcelo; Johansson, Emil – Educational Technology & Society, 2014
The purpose of this study is to investigate the effects of a ubiquitous problem-based learning system (UPBLS) on students' question-raising performance in field inquiry activities. An experiment was conducted on an elementary school natural science course. A total of 43 sixth and fifth grade elementary students divided into experienced and…
Descriptors: Problem Based Learning, Electronic Learning, Elementary School Science, Elementary School Students
Ponce, Gregorio A. – Mathematics Teaching in the Middle School, 2008
Using sticky notes and number lines, a hands-on activity is shared that anchors initial student thinking about absolute value. The initial point of reference should help students successfully evaluate numeric problems involving absolute value. They should also be able to solve absolute value equations and inequalities that are typically found in…
Descriptors: Mathematics Instruction, Prior Learning, Secondary School Mathematics, Teaching Methods
Cagiltay, Nergiz Ercil – British Journal of Educational Technology, 2007
Software-engineering education programs are intended to prepare students for a field that involves rapidly changing conditions and expectations. Thus, there is always a danger that the skills and the knowledge provided may soon become obsolete. This paper describes results and draws on experiences from the implementation of a computer…
Descriptors: Computer Software, Engineering Education, Computers, Games
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

Boud, David – Higher Education Research and Development, 1993
A perspective on teaching and learning in higher education that regards the learner's experience as primary is outlined. Some propositions about learning from experience are made, a model of learning from experience is discussed, and implications for instructional design are examined. Major areas for curriculum development are identified.…
Descriptors: College Instruction, Conceptual Tempo, Curriculum Development, Experiential Learning
Abrahamson, Dor – International Group for the Psychology of Mathematics Education, 2003
The paper describes the rationale and 10-day implementation in a 5th-grade classroom (n=19) of an experimental ratio-and-proportion instructional design. In this constructivist-phenomenological design, coming from our theoretical perspective, design research, and domain analysis, students: (1) link "real-world" and "mathematical" objects…
Descriptors: Constructivism (Learning), Instructional Design, Concept Formation, Mathematics Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
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…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection