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Ban, Sun Young – ProQuest LLC, 2019
In the US, an estimated 25% of four-year college students and up to 80% of community college students suffer from a moderate to high degree of mathematics anxiety (MA) (Chang & Beilock, 2016). Many scholars have noted that mathematics anxiety can be regarded as a significant factor in determining a student's achievement and mathematics related…
Descriptors: Teaching Methods, Cognitive Style, Mathematics Anxiety, Mathematics Instruction
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Cox, Charles T., Jr. – Journal of College Science Teaching, 2015
A modified model of cooperative learning known as the GIG model (for group-individual-group) designed and implemented in a large enrollment freshman chemistry course. The goal of the model is to establish a cooperative environment while emphasizing greater individual accountability using both group and individual assignments. The assignments were…
Descriptors: Accountability, Chemistry, Class Activities, Teamwork
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Senior, Carl; Howard, Christopher; Reddy, Peter; Clark, Robin; Lim, Ming – Studies in Higher Education, 2012
A student-centred approach to teaching has been conceptualized as a key driver in higher education to facilitate understanding of concepts and improve attainment. The occurrence of student study team behaviours is diagnostic of this approach to teaching. However, the extent to which team behaviours are performed outside the parameters of formal…
Descriptors: Teaching Methods, Emotional Intelligence, Academic Achievement, Lecture Method
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Tempelaar, Dirk T.; Rienties, Bart; Giesbers, Bas – Industry and Higher Education, 2009
The authors investigate the relationship between student learning choices and learning styles in the use of an innovative learning environment for statistics. For teaching introductory statistics to first-year students in economics and business, Maastricht University uses a blended learning environment. It allows students to individualize learning…
Descriptors: Electronic Learning, Instructional Design, Independent Study, Problem Based Learning
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Swami, Viren; Furnham, Adrian; Maakip, Ismail; Ahmad, Sharani; Hudani, Nurul; Voo, Peter S. K.; Christopher, Andrew N.; Garwood, Jeanette – Learning and Individual Differences, 2007
This study examined students' preferences for lecturers' personalities on three continents. Two-hundred and 35 university students in Malaysia, 347 university students in Britain and 139 university students in the United States provided ratings of 30 desirable and undesirable lecturer trait characteristics, which were coded into an internally…
Descriptors: Student Attitudes, Foreign Countries, College Students, Teacher Characteristics
Azevedo, Roger; And Others – 1995
This paper explains the rationale for utilizing computer-based, hypermedia tutorials for radiology education and presents the results of a field test of this educational technique. It discusses the development of the hypermedia tutorials at Montreal General Hospital (Quebec, Canada) in 1991-92 and their use in the radiology residency program. The…
Descriptors: Computer Assisted Instruction, Foreign Countries, Graduate Medical Education, Higher Education
Herrmann, Thom; Leppmann, Peter – 1981
Courses using a Personalized System of Instruction (PSI) have proliferated in the past decade. Researchers have explored various factors related to PSI, but rarely, if ever, have students' study habits or preferences been considered. A questionnaire examining the study habits, exam preferences and attitudes toward various instructional formats was…
Descriptors: Behavior Patterns, Classroom Techniques, College Students, Foreign Countries
Elkins, Robert J. – 1970
Teaching an entire class at one level inevitably leaves some students bored and frustrated; team teaching and individualized instruction eliminate this problem. A team consists of two to seven teachers, the most experienced being leader. He must analyze the strengths of the group and plan the syllabus accordingly, inviting guest instructors to…
Descriptors: Educational Objectives, Grouping (Instructional Purposes), Individual Differences, Individualized Instruction
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deLeon, Linda; Killian, Jerri – Journal of Public Affairs Education, 2000
Moving beyond question of whether on-line education is beneficial or harmful, explores conditions under which one or another of six instructional methods lecture, collaborative learning, experiential learning, learning contracts, televised courses, and Web-based learning work best. Finds specific methods more appropriate for some subject matters,…
Descriptors: Cognitive Style, Cooperative Learning, Distance Education, Experiential Learning
Gattiker, Urs E.; And Others – 1986
Computer literacy has been identified as one of the most important factors for the effective use of computer-based technology in the workplace. Managers need to know the most efficient methods available to teach computer skills to their employees in a short time. Such methods need to be suitable for all employees, whether academically gifted or…
Descriptors: Academic Ability, Business Administration Education, Classroom Techniques, Computer Assisted Instruction
Rose, David H.; Harbour, Wendy S.; Johnston, Catherine Sam; Daley, Samantha G.; Abarbanell, Linda – Journal of Postsecondary Education and Disability, 2006
Authored by the teaching staff of T-560: Meeting the Challenge of Individual Differences at the Harvard Graduate School of Education, this article reflects on potential applications of universal design for learning (UDL) in university courses, illustrating major points with examples from T-560. The article explains the roots of UDL in cognitive…
Descriptors: Learning Theories, Textbooks, Distance Education, Discussion Groups
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