scholarly journals A Cooperative Interdisciplinary Task Intervention with Undergraduate Nursing and Computer Engineering Students

2019 ◽  
Vol 11 (22) ◽  
pp. 6325 ◽  
Author(s):  
Marqués-Sánchez ◽  
García-Rodríguez ◽  
Benítez-Andrades ◽  
Portillo ◽  
Pérez-Paniagua ◽  
...  
Keyword(s):  
Higher Education ◽  
Academic Performance ◽  
University Students ◽  
Engineering Students ◽  
Network Formation ◽  
Added Value ◽  
Centrality Measures ◽  
Friendship Networks ◽  
Computer Engineering ◽  
Post Intervention

: This study proposed a collaborative methodology among university students in different grades in order to find sustainable strategies that are an added value for students, teachers, and society. In daily professional practice, different professionals must develop skills to collaborate and understand each other. For that reality to be sustainable, we believe that experiences must begin in the context of higher education. Social network analysis offers a new perspective on optimizing relationships between university students. The main goal of this study was to analyze students’ behavior in their networks following an educational intervention and the association with academic performance, resilience and engagement. This was a descriptive quasi-experimental study with pre–post measures of a cooperative interdisciplinary intervention. Participants comprised 50 nursing and computer engineering students. We measured help, friendship, and negative network centrality, engagement, resilience, and academic performance. No significant differences were observed between pre–post-intervention centrality measures in the negative network. However, the help and friendship networks presented statistically significant differences between inDegreeN, OutDegreeN and EigenvectorN on the one hand, and resilience and engagement—but not academic performance—on the other. Academic performance was solely associated with the team to which participants belonged. Cooperative interdisciplinary learning increased the number of ties and levels of prestige and influence among classmates. Further research is required in order to determine the influence of engagement and resilience on academic performance and the role of negative networks in network formation in education. This study provides important information for proposals on sustainable assessments in the field of higher education.

scholarly journals Networks and Emotions in Cooperative Work: A Quasi-Experimental Study in University Nursing and Computer Engineering Students

Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 220
Author(s):  
Pilar Marqués-Sánchez ◽  
Isaías García-Rodríguez ◽  
José Alberto Benítez-Andrades ◽  
Iván Fulgueiras-Carril ◽  
Patricia Fernández-Sierra ◽  
...  
Keyword(s):  
University Students ◽  
Positive Emotions ◽  
Engineering Students ◽  
Collaborative Work ◽  
Collaboration Network ◽  
Friendship Networks ◽  
Computer Engineering ◽  
Post Intervention ◽  
Quasi Experimental ◽  
The Impact

University students establish networks that impact on their behavior. Social Network Analysis (SNA) allows us to analyze the reticular structures formed and find patterns of interaction between university students. The main objective of this study was to observe the impact of interdisciplinary collaborative work between nursing and computer engineering students on the collaboration and friendship networks, emotions and performance of the participants. It is a quasi-experimental descriptive study with pre- and post-intervention measurements. The contact networks analyzed showed an increase in density in the post-intervention period. The most central people in the network corresponded with those who considered positive emotions most in their academic environment, while the less central people coincided with those who highlighted negative emotions. Academic performance was only significantly associated in the collaboration network, between this and OutdegreeN. This study shows the impact of interdisciplinary activities on teaching methodologies and the repercussions of emotions on curricular activity.

Relationship between satisfaction with learning outcomes and mental health among medical and engineering students

2020 ◽  
pp. 70-78
Author(s):  
O. Bukhanovskaya ◽  
N. Demcheva
Keyword(s):  
Mental Health ◽  
Academic Performance ◽  
Mental Disorders ◽  
University Students ◽  
Learning Outcomes ◽  
Engineering Students ◽  
Clinical Forms ◽  
Complete Survey ◽  
Medical University

Method of calculating the index of crisis of gratification has been developed on the basis of the complete survey of 995 students of medical university and 804 students of engineering university, determination of clinical and social parameters and factors related to the process of education in the specialized university. It included: a scale for the assessment of the degree of intellectual intensity, academic performance, stress situations related to the peculiarities of education. Reliable differences in values between groups of healthy students, students with preclinical and clinical forms of mental disorders are revealed as a result of calculation of the index of gratification. The authors conclude that satisfaction with the results of education has a significant impact on the mental health of university students.

scholarly journals Ups and downs in mood and energy: Associations with academic outcomes in higher education

2015 ◽  
Vol 6 (2) ◽  
pp. 21-31 ◽  
Author(s):  
Ben Bullock
Keyword(s):  
Higher Education ◽  
Academic Performance ◽  
Individual Differences ◽  
University Students ◽  
Academic Outcomes ◽  
Small Sample ◽  
First Year ◽  
Psychological Interventions ◽  
Low Mood ◽  
Low Motivation

Individual differences in mood and energy may affect academic outcomes in higher education. With little previous research investigating this relationship it is not known whether mood and energy traits help or hinder academic performance. The current study addresses this gap in the literature by investigating ups (high mood and energy) and downs (low mood and energy) in a small sample of University students in their first year of a psychology degree. The results suggest that low mood and energy traits may be detrimental to academic performance. High mood and energy traits however, were not associated with academic performance. Implications of the findings, in particular those regarding low mood and energy, are that, unlike the trait itself, the behaviours associated with the trait (e.g., procrastination, distraction, low motivation) are amenable to change through psychological interventions. Several of these interventions are discussed. 

scholarly journals Networks that Cross the Boundaries of the Classroom: A Quasi-Experimental Study of University Students

2019 ◽  
Author(s):  
José Alberto Benítez-Andrades ◽  
Isaías García ◽  
Carmen Benavides ◽  
Javier Pérez-Paniagua ◽  
Pilar Marqués-Sánchez ◽  
...  
Keyword(s):  
Nursing Students ◽  
Engineering Students ◽  
Positive Impact ◽  
Collaborative Work ◽  
Computer Engineering ◽  
Multidisciplinary Research ◽  
Post Intervention ◽  
Group Response ◽  
Quasi Experimental ◽  
Teaching Learning

Currently there is a trend towards facilitating multidisciplinary research and collaborations between different faculties and/or multi-university collaboration. In order to achieve standardization, we believe that this culture should begin with the teaching-learning processes. This research has investigated collaborative work between nursing students and computer engineering students. To analyze the group response, an analysis of the contacts was carried out through Social Network Analisys, pre- and post-intervention. The student networks analyzed were friendship, collaboration and negative networks. The results show that the intervention had a positive impact on networks among students, creating greater cohesiveness due to the resources they shared. The research adds useful evidence for proposing innovative and multidisciplinary strategies in terms of  networks.

scholarly journals Improvement of Academic Performance of Engineering Students through an Adaptive Educational Hypermedia System (AEHS)

2019 ◽  
Vol 8 (12S2) ◽  
pp. 12-17
Keyword(s):  
Academic Performance ◽  
Learning Styles ◽  
University Students ◽  
Engineering Students ◽  
Color Adaptation ◽  
Hypermedia System ◽  
Industrial Software ◽  
Intelligent Tutor ◽  
Educational Hypermedia

This paper describes how to improve the academic performance of engineering university students through an Adaptive Educational Hypermedia System (AEHS). The psychological basis, learning styles and MOOMH methodology for the development of the system are exposed, which with its implementation achieves adaptability and works for students as an “intelligent tutor”, allowing them to guide their education as academic tutor. Not only shows its content that meets the needs of the student, but it is also represented in elements such as color adaptation, work tools and even academic recommendations based on the interactions that the user makes within the system, the system recognizes its pattern of use, and when the student is logged in again, it presents a friendlier interface that the student prefers use, it is wider in content and, above all, easy to use and understand. In addition, the AEHS allows to extend education allowing the assignment of more domain areas, in the field of engineering, that is, the SHAE can be adapted to various engineering specialties such as: industrial, software, telecommunications, mechanics and other.

scholarly journals Using an online CBT-based intervention to improve academic performance in students with low mood: A pre-post study with historical control

2021 ◽  
Author(s):  
Suheir Awadalla ◽  
Bethan Davies ◽  
Cristine Glazebrook
Keyword(s):  
Mental Health ◽  
Academic Performance ◽  
Depressive Symptoms ◽  
University Students ◽  
Skills Training ◽  
Historical Control ◽  
Control Group ◽  
Post Intervention ◽  
Historic Control

Abstract Background Online CBT-based interventions have shown potential to improve mental health in university students. However, their impacts in West Asian cultures and on educational achievement have yet to be fully investigated. This study aims to explore the feasibility, acceptability and potential effectiveness of a self-directed, internet-delivered, cognitive-behavioural skills training program (MoodGYM) in reducing depression and improving academic performance in university students in the United Arab Emirates (UAE). Methods This exploratory pre-post intervention study with an historic control group recruited 50 students from one UAE university, with GPA < 2 and self-reporting at least one of two key depressive symptoms. Pre-intervention, participants completed an online survey including most recent grade point average (GPA), number of attendance warnings and the Hospital Anxiety and Depression Scale (HADS). Participants were then sent a link to MoodGYM. After eight weeks, 44 participants repeated the survey and provided feedback on MoodGYM (88% follow-up). A subgroup of 19 students with GPA scores < 2 at baseline formed an historical control group for change in GPA and attendance warnings. Results Total HADS-Depression scores fell at post intervention (P = 0.004) and the proportion of participants scoring above the cut-off for depression (HADS-D ≥ 8) fell from 77.2–27.3% (p < 0.001). There was also a substantial fall in HADS-Anxiety scores (p < 0.001) and the proportion of participants above the cut-off for anxiety (HADS-A ≥ 8) fell from 50% to 11.4 % (p = 0.001). GPA scores improved substantially over time (p < 0.001, d = 1.3) and attendance warnings reduced (p = 0.008, d = 0.6). Compared to historic control, the intervention group had higher GPA at follow-up (p < 0.030 d = 0.6) fewer attendance warnings (p = 0.036 d = 0.7). Most students (79.6%) evaluated MoodGYM as useful and all students completed at least 2 MoodGYM modules. More modules completed (p = 0.005) and greater reduction in attendance warnings (p = 0.007) were independently associated with greater improvement in GPA scores at follow-up. Conclusions This study provides support for a web based mental health promotion intervention (MoodGYM) to improve academic achievement in university students with depressive symptoms. Further research is needed to explore how MoodGYM can be best implemented within University settings.

scholarly journals Cross-curricular IT tools for university students: developing an effective model

2011 ◽  
Vol 5 (1) ◽  
Author(s):  
Allan Martin ◽  
Debra Fayter
Keyword(s):  
Higher Education ◽  
Quality Assurance ◽  
University Students ◽  
Public Funding ◽  
Effective Model ◽  
Added Value ◽  
Institutional Profile ◽  
Effective Use

Enabling students to make effective use of study opportunities is an increasingly important element in consideration of university resource provision. Universities are expected to identify the added value which higher education represents, both to public funding bodies and to clients, whether students, parents or employers. Maximizing study potential can facilitate, as well as demonstrate, the added value which higher education offers. Quality assurance processes have also increased the focus on the climate and provision of support for study. And in a more robust climate of competition, provision of study-enhancing measures may be part of an institutional profile which will attract students of the best quality.DOI:10.1080/0968776970050112

scholarly journals IMPLEMENTASI METODE WEIGHTED PRODUCT (WP) DALAM SISTEM PENGAMBILAN KEPUTUSAN DOSEN TERBAIK TEKNIK KOMPUTER AKADEMI ILMU KOMPUTER TERNATE

2020 ◽  
Vol 3 (3) ◽  
pp. 175-182
Author(s):  
ILHAM DJUFRI ◽  
Muksin Hi Abdullah ◽  
Seh Turuy
Keyword(s):  
Higher Education ◽  
Engineering Students ◽  
Academic Staff ◽  
Computer Engineering ◽  
Delivery Methods ◽  
Study Program ◽  
Product Method ◽  
Conducting Research ◽  
Calculation Analysis ◽  
And Training

ABSTRAKDosen merupakan tenaga akademik yang bertugas merencanakan dan melaksanakan proses pembelajaran, menilai hasil pembelajaran, melakukan pembimbingan dan pelatihan, serta melakukan penelitian dan pengabdian pada masyarakat (Tri Dharma) Perguruan Tinggi. Dalam melaksanankan Tri Dharma Perguruan Tinggi doesen perlu diberikan apresiasi atau promosi sesuai dengan kinerja akademiknya. Oleh karena itu, peneliti mendesain analisis pengambilan keputusan pemilihan dosen terbaik pada Program Studi Teknik Komputer Akadedemi Ilmu Komputer Ternate. Tujuannya adalah memilih dosen terbaik dengan cara perangkingan. Untuk menentukan dosen terbaik peneliti menggunakan teknik pengambilan data dengan cara penyebaran kuisioner terhadap 16 (enam belas) mahsaiswa Teknik Komputer sebagai penilai terhadap 5 (lima) alternative (dosen) Teknik Komputer dengan menerapkan metode analisis perhitungan metode Weighted Product. Kriteria pemilihan yang digunakan adalah Kemampuan Logika Berpikir, Terampil Melakukan Evaluasi Assessment, Terampil Menyajikan Materi Kuliah dan Kedisiplinan. Data hasil analisis perhitungan mendapatkan Alternatif (dosen) yang memperoleh nilai tertinggi adalah alternative (dosen) ABUR (A4) 0.2328.Kata kunci: SPK, WP, pemilihan, dosen, terbaik ABSTRACTLecturers are academic staff in charge of planning and implementing the learning process, assessing learning outcomes, conducting guidance and training, and conducting research and community service (Three Dharma) for Higher Education. In implementing the Three Dharma of Higher Education, it is necessary to give appreciation or promotion according to its academic performance. Therefore, the researchers designed a decision-making analysis for choosing the best lecturers in the Computer Engineering Study Program, Akademi Ilmu Komputer, Ternate. The goal was to select the best lecturers by ranking. To determine the best lecturer, the researchers used data collection techniques by distributing questionnaires to 16 (sixteen) Computer Engineering students as assessors of 5 (five) alternative (lecturers) Computer Engineering by applying the calculation analysis method of the Weighted Product method. The selection criteria used are Logic Thinking, Synthesis Analysis Ability, Material Delivery Methods and Dress Procedures (Appearance). The data from the calculation analysis indicated that the alternative (lecturer) who got the highest score was the alternative (lecturer) ABUR (A4) 0.2328.Keywords: DSS, WP, election, lecturer, best

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