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Direct linkConfrey, Jere; Gianopulos, Garron; McGowan, William; Shah, Meetal; Belcher, Michael – ZDM: The International Journal on Mathematics Education, 2017
The paper describes how designers used the construct of learning trajectories to create a tool, Math-Mapper 6-8, to help scaffold curricula toward increased learner-centered coherence. It defines "learner-centered curricular coherence" as "an organizational means to promote a high likelihood that each learner traverses one of many…
Descriptors: Scaffolding (Teaching Technique), Student Centered Learning, Mathematics Curriculum, Curriculum Development
Mitchell, Erik – Education for Information, 2013
This study uses formal and informal student feedback as a source for understanding the impact of experimental course elements. Responses were used to develop a codebook, which was then applied to the entire dataset. The results inform our understanding of student's conceptions of professional identity, learning styles and curriculum design.…
Descriptors: Curriculum Design, Feedback (Response), Student Reaction, Professional Identity
Stephenson, Julia E.; Brown, Clifford; Griffin, Darren K. – Computers & Education, 2008
The purpose of this study was to consider the efficacy and popularity of "Virtual Lectures" (text-based, structured electronic courseware with information presented in manageable "chunks", interaction and multimedia) and "e-Lectures" (on-screen synchrony of PowerPoint slides and recorded voice) as alternatives to traditional lectures. We…
Descriptors: Student Attitudes, Student Reaction, Genetics, Lecture Method
Peer reviewedFabry, Victoria J.; Eisenbach, Regina; Curry, Renee R.; Golich, Vicki L. – Journal on Excellence in College Teaching, 1997
A study investigated the effect of classroom assessment techniques (CATs) on both content and process of college students' learning. Instructors ask students to provide regular, anonymous feedback about their understanding of course material and the effectiveness of class structure. Comments of students in biology, business management, political…
Descriptors: Biology, Business Administration Education, College Instruction, Formative Evaluation
Peer reviewedMcClaskey, Janet – English Journal, 1995
Gives practical examples of multiple intelligences in the English classroom. Discusses Howard Gardner's "radicalism,""teaching" intelligence, teaching literature and multiple intelligences, and how a student developed strength in his own intelligences through poetry. (RS)
Descriptors: Classroom Environment, Cognitive Style, English Instruction, Individual Differences
Ruiz-Primo, Maria Araceli; Furtak, Erin Marie – Educational Assessment, 2006
What does informal formative assessment look like in the context of scientific inquiry teaching? Is it possible to identify different levels of informal assessment practices? Can different levels of informal assessment practices be related to levels of student learning? This study addresses these issues by exploring how 4 middle school science…
Descriptors: Informal Assessment, Formative Evaluation, Middle School Teachers, Science Teachers
Peer reviewedDavies, Phil – Innovations in Education and Training International, 2000
Describes the introduction of a computerized peer assessment system as part of an undergraduate module in computer studies in the United Kingdom. Analyzes student responses to modification of the tutor-student relationship to a student-student relationship for assessment purposes, discusses plagiarism and the Web, and investigates effects on…
Descriptors: Computer Assisted Instruction, Computer Science Education, Computer Uses in Education, Evaluation Methods
Download full textStamper, 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
