Analysis and Research about Characteristics of Online Learning Behaviours of SPOC Learners

Song, Qiang-Ping; Fang, Haiguang; Teng, Ying; Jiao, Baocong

doi:10.1051/itmconf/20160704011

Cited by 3 publications

(6 citation statements)

References 2 publications

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“…Encontramos instrumentos de evaluación que tienen, como punto de partida, los propios comentarios del alumnado, junto con cuestionarios después de cada clase, los cuales asignan una puntuación automática a las respuestas recibidas (Song et al, 2016), implementando así herramientas de autocorrección como una posibilidad de herramienta de evaluación.…”

Section: Resultsunclassified

La evaluación en los SPOC: análisis de modelos e instrumentos

Lacorte

Río

Guillén‐Gámez

et al. 2021

IJTEI

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La evaluación varía según la metodología y alumnado al que va dirigido el proceso de enseñanza, ya que esta se adapta a su contexto y nivel de instrucción. En relación con el objeto de nuestro estudio, los SPOC (del inglés Small Private Online Course), mantienen diferentes variaciones en cuanto a los modelos e instrumentos de evaluación. La forma de evaluar en los SPOC varía según el alumnado al que va dirigido el curso, el propio diseño del SPOC y el enfoque que el propio docente quiera darle. El objetivo principal de esta investigación es analizar los modelos e instrumentos de evaluación que se implementan en los SPOC. Se pretende comprender como se desarrolla la evaluación en los SPOC, a través de las líneas de investigación más actuales. Para ello, la investigación se ha llevado a cabo a través de un estudio teórico de la bibliografía actual y especifica en la materia. Los resultados reflejan una preferencia, en lo que respecta a la finalidad, por la evaluación sumativa. En relación con el momento de recogida de información, la evaluación inicial junto con la final, son los modelos más utilizados. En cuanto al agente evaluador, la autoevaluación es el modelo más implementado. Entre los instrumentos, las autoevaluaciones y las pruebas tipo test son las herramientas más implementadas para recoger evidencias sobre el proceso de aprendizaje. Como conclusión, pese a que las características pedagógicas de los SPOC favorecen la adopción de unos modelos e instrumentos de evaluación, el acuerdo sobre modelos y herramientas de evaluación queda subordinado a la intención concreta de cada SPOC.

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Section: Resultsunclassified

La evaluación en los SPOC: análisis de modelos e instrumentos

Lacorte

Río

Guillén‐Gámez

et al. 2021

IJTEI

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“…When learners participate in SPOC online course activities, the SPOC platform can record learners' learning and interaction data in a comprehensive and multi-angle manner [63]. The analysis of student behavior data is inseparable from educational data mining technology [70].…”

Section: Analysis Of the Characteristics Of Learners In Spocmentioning

confidence: 99%

SPOC online video learning clustering analysis: Identifying learners' group behavior characteristics

Lü

et al. 2023

Comp Applic In Engineering

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With the widespread of Small Private Online Courses (SPOC) in colleges and universities, course organizers who provide high-quality personalized course activities need to understand learners' learning status and characteristics, and then optimize the course teaching. However, little research has been done on different learners' group behavior characteristics, such as which indicators can reflect learner groups' behavior, and what are the typical behavior characteristics of different learner groups. In this work, we established a Python Language Foundation self-built SPOC course, and 109 undergraduates' learning behavior data were collected and analyzed. From 74-dimensional behavior log data consisting of 72 video-viewing, course video score, and comprehensive score, Principal Component Analysis was performed to reduce dimensionality. Agglomerative hierarchical clustering was used to divide learners into different categories, and the results showed that 15 groups are clustered. According to the analysis of the four indicators for group characteristics, which are the completion and viewing-stability of task-point videos, unit test excellence, and comprehensive score, it is identified into five primary types, including positive type, regular type, negative type, seminegative type, and a fluctuation type. Experiments conducted on a real data set across different academic years and courses show that the proposed approach has better clustering accuracy and practicability. It is expected that this work may be used to strengthen the personalized learning support services system in educational institutions and develop a tool that integrates exploration and analysis work onto the web platform.

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“…Studies that compare the performance of participants in MOOCs and SPOCs point out that the best results are obtained in SPOCs [Muñoz-Merino et al 2017]. In addition, some comparative studies analysis the commitment of participants in MOOCs and SPOCs point out that the best results are achieved in SPOCs, especially in cases where HEI's allow to use SPOCs as academic credits [Song, Qiang-Ping et al 2016].…”

Section: Advantages From Students' Point Of Viewmentioning

confidence: 99%

“…The supervision and interaction between students and instructors are easier than in a MOOC due to the smallest number of participants in SPOCs [Song, Qiang-Ping et al 2016]. SPOC environments provide students the opportunity to obtain more information from the instructors, providing collaborative learning [Jong 2016].…”

Section: Advantages From Instructors' Point Of Viewmentioning

confidence: 99%

“…Good approval rates imply in a low dropout rate. For instance, SPOCs completion rates are higher than the rates achieved by MOOCs [Muñoz-Merino et al 2017] [Song, Qiang-Ping et al 2016]. The factors influencing these rates are the reduced number of participants and the use of credits, motivating students attending the class.…”

Section: Advantages From Heis' Point Of Viewmentioning

confidence: 99%

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Small Private Online Courses in Computing Learning: evidence, trends and challenges

Prates¹,

Garcia²,

Gutiérrez-Maldonado³

2019

Anais Do XXX Simpósio Brasileiro De Informática Na Educação (SBIE 2019)

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SPOCs (Small Private Online Courses) are considered a variation of MOOCs (Massive Open Online Courses) and intend to facilitate the combination of online resources and technologies with personal engagement between disciplines and learners. The goal of this paper is to provide both an overview and a discussion about SPOCs' trends, benefits and challenges in the scope of Computing teaching. For that, a systematic mapping of literature (SML) was performed. The benefits and challenges pointed out by selected papers are grouped and analyzed in four different perspectives: students, industry, teachers and Higher Education Institutions. The results show how SPOCs have been applied and it is discussed how these resources can be helpful in Computing teaching.Resumo. Os SPOCs (Small Private Online Courses) são considerados uma variação dos MOOCs (Massive Open Online Courses) e pretendem facilitar a combinação de recursos e tecnologias online com envolvimento pessoal entre disciplinas e alunos. O objetivo deste artigo é fornecer uma visão geral e uma discussão sobre as tendências, benefícios e desafios dos SPOCs no escopo do ensino de Computação. Para isso, foi realizado um mapeamento sistemático da literatura (MSL). Os benefícios e desafios apontados pelos trabalhos selecionados são agrupados e analisados em quatro diferentes perspectivas: estudantes, indústria, professores e Instituições de Ensino Superior. Os resultados mostram como os SPOCs são aplicados e é discutido como esses recursos podem ser úteis no ensino de Computação.

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Analysis and Research about Characteristics of Online Learning Behaviours of SPOC Learners

Cited by 3 publications

References 2 publications

La evaluación en los SPOC: análisis de modelos e instrumentos

La evaluación en los SPOC: análisis de modelos e instrumentos

SPOC online video learning clustering analysis: Identifying learners' group behavior characteristics

Small Private Online Courses in Computing Learning: evidence, trends and challenges

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