No significant differences were found beyond these results. Regarding the effects of ability grouping on within-class achievement, Sorenson and Hallinan's study (1985) found that grouping increases inequality of achievement. Briefly, considering their study at the difference in reading achievement between within-class grouped students and heterogeneous classrooms for fourth through seventh graders from North California, their primary result concerning achievement for within-class grouping was that high-ability groups attained a higher achievement than low-ability groups. These results were bases primarily on data from elementary schools and may not directly apply to secondary students, but this study has been included in this research paper to add insight to the subject of homogeneous vs. heterogeneous effects on achievement.
Testing the effects on the differences between mathematics achievements of within-class ability grouping, heterogeneous and cooperative-learning grouped classrooms, Slavin and Karweit (1984) conducted two experiments. The first included fourth through sixth graders from integrated, urban, untracked schools in which the teachers were given appropriate training. The second experiment included third through fifth grade students from rural, mostly white, tracked schools with no specific teacher training. The subjects in these experiments were called untreated, control classes. The reason for conducting both experiments was to be able to generalize the results of their study to different school situations and locations. In the heterogeneous classes the teachers were trained to emphasize a high ratio of active teaching to seatwork. Mathematics was taught in context of meaning, not in isolation and there were frequent questions and feedback. In these classes, teachers taught at a rapid pace and strived to increase student time on task. In the within-class ability-grouped classes, teachers were trained to teach with the same concepts as described in the heterogeneous classes, but were instructed to differentiate their pace and materials for the two groups. In the cooperative learning classes, students worked in heterogeneous learning teams of four or five members. They worked on individualized mathematics materials at their own levels and pace, and the team members helped one another with any problems.
Slavin and Karweit (1984) found that the results were similar for both experiments. Cooperative learning groups and within-class ability groups increased computational skills significantly more than in heterogeneous classes that had no grouping. There was a similarity in achievement effects when using the cooperative learning and within-class grouping treatments. This study showed that grouping third to sixth grade students in some way is beneficial to achievement when compared with no grouping at all. Again, this study focused on elementary school but did offer cooperative learning as an alternative to the traditional use of either homogeneous or heterogeneous classrooms. There are other researchers who also conducted studies on this topic whose findings are summarised as follows. A meta-analysis (1990), conducted by Goldring, on the differences in achievement of gifted students between homogeneous and heterogeneous classes included studies spanning grades three through twelve. Goldring found that the higher the grade level, the more gifted students benefited from specialized or homogeneous classes. Teacher training for gifted programs directly affected student achievement. Students in special classes, whose teachers had received special training to teach gifted students, achieved more than gifted students in heterogeneous classes as compared to students in gifted classes whose teachers were not specially trained (Goldring, 1990).
Seemingly conflicting results are found in the following three studies. Kulik and Kulik's (1987) meta-analysis included many older studies dating back to the 1920's, and they too support Goldring's findings that homogeneous grouping of gifted students increased their achievement. Looking beyond gifted students in general, Slavin conducted a synthesis of twenty-nine studies from the years 1927-1986. He found that between-class ability groups, dominant in secondary schools had little or no effect on achievement. He further said that different forms of grouping were equally ineffective (Slavin, 1990). Gamoran and Berends (1987) too studied the effects of ability grouping on secondary school and found quite the opposite. They found that ability grouping and tracking did indeed affect student achievement and that the differences between achievements may have resulted from variations in student academic experiences.
Allan's critique (1991) of the inconsistencies between Kulik and Kulik's (1987) and Slavin's (1990) findings advises wariness in interpreting the reviews about ability grouping and the gifted. In both studies, achievement was measured by the use of standardized test scores. Scores of gifted students are usually high and approach a maximum possible score. As they come closer to the maximum, it is difficult for these gifted students, measured...
The trainer will then focus on the steps to be taken to develop new skills. For example, if the trainer wants to talk about motivating, leading, negotiating, selling or speaking, it is best to start with what the learners do well before showing some chart on Maslow's theory, Posner's leadership practices, or selling skills from some standard package that has been develop elsewhere. Many foreign trainers make grave errors
Bechtoldt, M.N., DeDreu, C.K.W. & Nijstad, B.A. (). Team personality diversity, group creativity, and innovativeness in organizational teams.Link: https://www.researchgate.net/profile/Carsten_De_Dreu/publication/228739619_Team_Personality_Diversity_Group_Creativity_and_Innovativeness_in_Organizational_Teams/links/02e7e51d5113b77dc3000000.pdfAdd to RefWorks: YesAnnotation: This is of the few studies that directly measures personality variables on specific group performance outcomes. The authors focus on group creativity and innovation as dependent variables. Independent variables include Big Five personality trait inventory assessments, one of the most commonly used measures of individual personality. However, focusing
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