The Group Formation Problem: An Algorithmic Approach to Learning Group Formation

2014 ◽  
pp. 221-234 ◽  
Author(s):  
Johannes Konert ◽  
Dmitrij Burlak ◽  
Ralf Steinmetz
Keyword(s):  
Group Formation ◽  
Algorithmic Approach ◽  
Approach To Learning ◽  
Learning Group ◽  
Formation Problem

scholarly journals Group Formation Among Peer-to-Peer Agents: Learning Group Characteristics

2004 ◽  
pp. 59-70 ◽  
Author(s):  
Elth Ogston ◽  
Benno Overeinder ◽  
Maarten van Steen ◽  
Frances Brazier
Keyword(s):  
Group Formation ◽  
Peer To Peer ◽  
Learning Group ◽  
Group Characteristics

A multi-objective optimization approach for the group formation problem

2020 ◽  
Vol 162 ◽  
pp. 113828
Author(s):  
Péricles B.C. Miranda ◽  
Rafael Ferreira Mello ◽  
André C.A. Nascimento
Keyword(s):  
Group Formation ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Formation Problem

scholarly journals IbM KELOMPOK BIMBINGAN BELAJAR DI KELURAHAN BANDUNGREJOSARI DAN BAKALANKRAJAN KECAMATAN SUKUN MALANG JAWA TIMUR

PAMBUDI ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 74
Author(s):  
Marsuki Marsuki ◽  
Rokhyanto Rokhyanto ◽  
Welas Listiani
Keyword(s):  
High School ◽  
High School Students ◽  
Significant Influence ◽  
Group Formation ◽  
School Students ◽  
Test Analysis ◽  
Learning Achievement ◽  
Learning Group ◽  
The Mean ◽  
Senior High School Students

The study aims at forming larning group and improving students’ learning achievement of the elementary, junior, and senior schools at villages Bandungrejosari and Bakalankrajan Kecamatan Sukun Malang. The study uses quantitative-qualitative descritptive approach. The subjects are 15 local peopleas IbM cooperative partners trained to be learning counseling instructors and (2) 138 elementary , 18 junior, and 14 senior high school students joining with learning group and learning counseling at villages Bandungrejosari and Bakalankrajan kecamatan Sukun Malang. The instruments are observation sheet and test consisting of pretest and posttest. Based on the result achieved, the IbM program got extraordinary encouragement and symphaty from local people, villages, schools, and social leaders. The learning counseling activity was going on for 3 months from September 1 to November 29, 2014. Based on the test analysis, it was found that learning group formation by providing learning counseling could give significant influence which could be shown in that the mean of the posttest was higher than that of pretest for the students of elementary, junior, and senior schools at villages Bandungrejosari and Bakalankrajan kecamatan Sukun Malang.

Semi-structured Interview on Learning Group Formation

2014 ◽  
Author(s):  
Casey White ◽  
Elizabeth Bradley ◽  
James Martindale ◽  
Paula Roy ◽  
Kunal Patel ◽  
...  
Keyword(s):  
Group Formation ◽  
Structured Interview ◽  
Learning Group

A Word Embeddings Based Clustering Approach for Collaborative Learning Group Formation

2021 ◽  
pp. 395-400
Author(s):  
Yongchao Wu ◽  
Jalal Nouri ◽  
Xiu Li ◽  
Rebecka Weegar ◽  
Muhammad Afzaal ◽  
...  
Keyword(s):  
Collaborative Learning ◽  
Group Formation ◽  
Word Embeddings ◽  
Learning Group ◽  
Clustering Approach

Who is the Perfect Match?

i-com ◽  
2018 ◽  
Vol 17 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Henrik Bellhäuser ◽  
Johannes Konert ◽  
Adrienne Müller ◽  
René Röpke
Keyword(s):  
Personality Traits ◽  
Group Formation ◽  
Perfect Match ◽  
Learning Gain ◽  
Learning Groups ◽  
Learning Group ◽  
Time Investment ◽  
The Status ◽  
And Performance ◽  
Algorithmic Approaches

Abstract Using digital tools for teaching allows to unburden teachers from organizational load and even provides qualitative improvements that are not achieved in traditional teaching. Algorithmically supported learning group formation aims at optimizing group composition so that each learner can achieve his or her maximum learning gain and learning groups stay stable and productive. Selecting and weighting relevant criteria for learning group formation is an interdisciplinary challenge. This contribution presents the status quo of algorithmic approaches and respective criteria for learning group formation. Based on this theoretical foundation, we describe an empirical study that investigated the influence of distributing two personality traits (conscientiousness and extraversion) either homogeneously or heterogeneously on subjective and objective measures of productivity, time investment, satisfaction, and performance. Results are compared to an earlier study that also included motivation and prior knowledge as criteria. We find both personality traits to enhance group satisfaction and performance when distributed heterogeneously.

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