Applications of Heider's p-o-x balance model to classroom situations

Some selected principles of Heider's balance theory are presented and the p-o-x model is explained as a theoretical framework for predicting responses to interpersonal situations in which the participants are in attitudinal agreement or disagreement. Concrete classroom situations are cited in which application of the model provides the basis for suggestions concerned with adaptive patterns of interaction with students.     

Related factors of the MTAI and the 16PF

The Minnesota Teacher Attitude Inventory (MTAI) and the Sixteen Personality Factors Questionnaire (16PF) were administered to 395 undergraduate teachers-in-training. The MTAI and the 16PF were compared using canonical analysis. They contained three related factors accounting for 41% of their total variance. It was concluded that teachers' attitudes toward their pupils are determined in large part by measurable personality traits.     

A comparison of WISC-R and stanford-binet intelligence scale classifications of developmentally disabled children

WISC-Rs and Stanford-Binets were administered to 50 children with developmental disabilities referred for comprehensive evaluations. Although the two IQs correlated highly and significantly, it was found that 54% of the children received different classifications using the two instruments. Thus, testers should be aware that different classifications of intellectual level may be derived for the same child depending upon which test is used.     

The dimensions of reading attitude for children in the intermediate grades

This study represents the first phase of an ongoing research program aimed at identifying the dimensions of reading attitude and determining how these dimensions relate to a broader range of variables such as reading achievement, scholastic aptitude, classroom behavior, and cognitive styles. The 150 items which comprise the experimental edition of A Survey of Reading Altitudes (Wallbrown, Brown, & Engin, 1974) were factor analyzed along with measures of scholastic aptitude, reading vocabulary, and reading comprehension. The analysis was based on the responses of 853 intermediate grade students. The attitude items were presented orally to control for reading problems, but the students also had booklets so they could read the items to themselves. Seven independent dimensions of reading attitude and one reading achievement factor were identified, interpreted, and discussed. The findings are encouraging, since they suggest that investigating the expressed reading attitudes of intermediate grade children constitutes a promising line of educational research.     

Searching for momentum in NBA triplets of free throws

ABSTRACT

The literature on momentum is still undecided, with mixed results whether momentum exists or is only perceived to exist (“hot hand fallacy”). We explore whether momentum exists by looking at cases in which a basketball player has three consecutive free throws. A free throw is a well-defined task executed in a stable environment, allegedly giving momentum optimal chances to occur. Taking 14 NBA seasons we collected over 4500 three-free-throw sets (triplets). We obtained the outcomes of the shots as well as some additional variables about the player and the game: the player’s average free-throw percentage, home or away, and the game score and the quarter when the free throws were attempted. We first analyse the hit rates in the three shots and then proceed to regression analysis that also controls for the abovementioned variables. We address several concerns raised in the literature. All comparisons and analyses yield the same conclusion that there is no evidence for momentum in the data.     

Brains–Computers–Machines: Neural Engineering in Science Classrooms

Neural engineering is an emerging field of high relevance to students, teachers, and the general public. This Feature presents online resources that educators and scientists can use to introduce students to neural engineering and to integrate core ideas from the life sciences, physical sciences, social sciences, computer science, and engineering into the classroom.     

Neuroanatomy Learning: Augmented Reality vs. Cross-Sections

Neuroanatomy education is a challenging field which could benefit from modern innovations, such as augmented reality (AR) applications. This study investigates the differences on test scores, cognitive load, and motivation after neuroanatomy learning using AR applications or using cross-sections of the brain. Prior to two practical assignments, a pretest (extended matching questions, double-choice questions and a test on cross-sectional anatomy) and a mental rotation test (MRT) were completed. Sex and MRT scores were used to stratify students over the two groups. The two practical assignments were designed to study (1) general brain anatomy and (2) subcortical structures. Subsequently, participants completed a posttest similar to the pretest and a motivational questionnaire. Finally, a focus group interview was conducted to appraise participants’ perceptions. Medical and biomedical students (n = 31); 19 males (61.3%) and 12 females (38.7%), mean age 19.2 ± 1.7 years participated in this experiment. Students who worked with cross-sections (n = 16) showed significantly more improvement on test scores than students who worked with GreyMapp-AR (P = 0.035) (n = 15). Further analysis showed that this difference was primarily caused by significant improvement on the cross-sectional questions. Students in the cross-section group, moreover, experienced a significantly higher germane (P = 0.009) and extraneous cognitive load (P = 0.016) than students in the GreyMapp-AR group. No significant differences were found in motivational scores. To conclude, this study suggests that AR applications can play a role in future anatomy education as an add-on educational tool, especially in learning three-dimensional relations of anatomical structures.