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Trujillo, Gloriana; Tanner, Kimberly D. – CBE - Life Sciences Education, 2014
Conceptual learning is a uniquely human behavior that engages all aspects of individuals: cognitive, metacognitive, and affective. The affective domain is key in learning. In this paper, that authors have explored three affective constructs that may be important for understanding biology student learning: self-efficacy--the set of beliefs that one…
Descriptors: Undergraduate Students, Self Efficacy, Self Concept, Biology
Struyven, Katrien; Dochy, Filip; Janssens, Steven – European Journal of Psychology of Education, 2008
This paper aims to investigate students' likes and dislikes of the teaching that they have experienced and its effects on students' perceptions of the learning environment, student learning and academic performance. The study compares a lecture-based setting to a student-activating learning/teaching environment, considering both instructional and…
Descriptors: Student Attitudes, Educational Environment, Lecture Method, Interest Research

Elliott, John C. – Journal for Research in Mathematics Education, 1990
Examined whether the relationship between selected affective variables and mathematics achievement was different for nontraditional college students (more than 25 years old) than for traditional students. Reports no significant differences for pretest/posttest between traditional/nontraditional students. Lists affective predictors for mathematics…
Descriptors: Affective Measures, Attribution Theory, College Mathematics, College Students
Unger, Brian – Highway One, 1986
Offers a test for identifying students with writing apprehension and offers strategies for dealing with these students. (SRT)
Descriptors: Affective Measures, Attitude Measures, Diagnostic Tests, Elementary Secondary Education

Menis, Joseph – Research in Science and Technological Education, 1989
This paper examines the affective components which were an integral part of science goals of the 1980's using data from the Second IEA Science Study in the United States. Data indicated that students in the United States were generally positive about chemistry and science. (CW)
Descriptors: Affective Behavior, Affective Measures, Chemistry, High Schools
Luckner, John L. – ACEHI Journal, 1991
This article describes two measures which assess the social-emotional functioning of hard of hearing students and identifies five areas of intervention including helping students understand and express feelings, increasing students' self-awareness, helping students develop personal values and goals, teaching social skills, and teaching problem…
Descriptors: Affective Measures, Elementary Secondary Education, Humanistic Education, Individual Development

Mathematics Teacher, 1992
Discussed are two practices that can affect the confidence and attitude of students toward mathematics. The first is a questioning technique that allows students to verbalize their progress up to a perceived impasse. The second discusses the possible negative results of sending students to the blackboard and provides suggestions to improve the…
Descriptors: Affective Measures, Classroom Environment, Classroom Techniques, Mathematics Anxiety

Mittler, Gene A.; Stinespring, John A. – Design for Arts in Education, 1991
Suggests that educational reform efforts, such as the back-to-basics movement, leave art educators wondering whether visual arts instruction will survive the reforms. Argues that the three Rs are insufficient for a balanced education. Asserts that the arts foster both affective and cognitive development. (KM)
Descriptors: Affective Measures, Art Education, Art Teachers, Back to Basics

Iozzi, Louis A. – Journal of Environmental Education, 1989
The importance of teaching to the affective domain is discussed in this review of the environmental education literature. Eight major ideas are used to summarize the research cited. Lists 63 references. (CW)
Descriptors: Affective Behavior, Affective Measures, Cognitive Development, Cognitive Structures

Gruber, Donald D. – Art Education, 1994
Contends that the evaluation of student achievement is the most important function of educational assessment. Proposes a balanced evaluation approach based on four dimensions: (1) cognitive learnings; (2) affective learnings; (3) psychomotor learnings; and (4) behavioral performance. Recommends the use of checklists and evaluation forms. (CFR)
Descriptors: Academic Achievement, Aesthetic Values, Affective Measures, Art Education