This document presents a study on developing a model for analyzing the curriculum of online courses in higher education. It discusses reviewing literature on online education, curriculum, and implementation models. The study analyzed 33 online courses offered by the University of Murcia between 2004-2005 and 2007-2008. Data was collected through document reviews, interviews, and questionnaires. The analysis identified elements of the curriculum like objectives, content, teaching strategies, and assessment. It aimed to build a comprehensive model that could analyze all elements of an online curriculum. The proposed model provides a single tool to map and assess curriculums for online or blended courses in higher education.
My recent presentation at AIESEP on teacher's use of innovative pedagogical models in physical education. I can be seen presenting this at http://goo.gl/wgMIo
Assessment & Feedback Literature ReviewMorse Project
Presentation by Dr Ann Ooms and Hendrik van der Sluis, Kingston University, at the "Improving Assessment and Feedback Practices in a Technology-Enhanced Teaching and Learning Environment: Theory and Practice" Event, 19th May 2010 at Kingston University. Part of the "Higher Education Academy : Evidence Based Practice Seminar Series 2010"
The presentation provides an overview of recent literature concerning assessment and feedback
Reflection-on-action is necessary to derive meaning from one’s experiences. This paper revisits research data from an elongated study on the impact of a distance education programme on the professional practice of graduates. The study focused on 300 graduates and 128 principals, selected through multi-stage and purposive sampling. The researcher used a mixed-methods research design with specific focus on Kirkpatrick’s, and Baldwin and Ford’s training evaluation models. The researcher’s curiosity was triggered by the need to understand possible reasons for the participants’ views, as these are contrary to the norm. This account indicates a clear institutional policy on quality assurance, practices guided by the policy, an ongoing monitoring of the distance education students’ profiles, improved programme design, student support structures, programme design and research focused on programmes as possible reasons. The author argues that higher education practitioners, irrespective of delivery mode, could benefit from the valuable lessons learnt from the exercise.
Keywords: Distance education, evaluation, impact, professional development, quality, reflection, reflection-on-action
How can you use learning analytics in your own research and practice: an intr...Bart Rienties
While many “brick-and-mortar” universities had to rapidly shift online provision during the pandemic, a range of online and distance learning universities have been teaching in blended and online formats for years. Obviously with every single click potentially interesting data might become available about how and perhaps why learners are engaging with learning materials and activities. A blossoming field of learning analytics has emerged since 2011 trying to make sense of these increased data flows. The Open University UK (OU) has been trailblazing innovative learning across the globe for 50 years. Since 2014 the OU has gradually moved from small-scale experimentation to large-scale adoption of learning analytics throughout all 400+ modules and qualifications available within the OU for its 170.000+ online learners.
This keynote will explore how you as researcher, practitioner, and/or policy maker could start to use learning analytics to better understand your educational practice. Using examples from small-scale experiments and large-scale adoptions of predictive learning analytics I will explore together with EDEN RW participants which approaches and methods in learning analytics might be useful to consider. No prior knowledge or experience of learning analytics is expected, and join me on a journey of how you could potentially use data from your learners and teachers to further improve and finetune your blended and online provision.
Dr. Bart Rienties is Professor of Learning Analytics and programme lead of the learning analytics and learning design research programme at the Institute of Educational Technology at the Open University UK. He leads a group of academics who provide university-wide learning analytics and learning design solutions and conduct evidence-based research of how students and professionals learn. His primary research interests are focussed on Learning Analytics, Professional Development, and the role of motivation in learning. Furthermore, Bart is interested in broader internationalisation aspects of higher education. He has successfully led a range of institutional/national/European projects, and has received a range of awards for his educational innovation projects. He has published over 285 academic outputs, and is the 2nd most published author on Networks in Education in period 1969-2020 (Saqr et al. 2022), the 3rd most cited author on higher education internationalisation in Asia in the period 2013-2018 (Can & Hou, 2021), the 4th most cited author and contributor in Learning Analytics in the period 2011-2018 (Adeniji, 2019), the 5th most published author on internationalisation in the period 1900-2018 (Jing et al. 2020) and the 7th most published author on social network analysis in social sciences in the period 1999-2018 (Su et al. 2020), and the 14th most published author on educational technology in the period 2015-2018 (West & Bodily, 2020).
This critical review was the result of reviewing 300+ articles and selecting the most rigorous studies to conduct review of Infant Massage for the Preliminary requirements into Doctoral Candidacy. This results in 33 articles, representing 13 countries, in a variety of settings.
Promoting Teacher Self Efficacy - A Presentation for Lakehead UniversityRobert Power
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Automated content analysis of reflective writingThomas Ullmann
Presented at the CALRG seminar of the Open University, UK. Based on:
Ullmann, T. D. (2015). Automated detection of reflection in texts. A machine learning based approach. The Open University. Available at http://oro.open.ac.uk/45402/
This the slides for my research proposal defense presentation on 30 June 2009. There maybe some changes to the actual (latest update) research proposal.
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The presentation provides an overview of recent literature concerning assessment and feedback
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1. Enseñanza Flexible en Red en la Universidad: Modelo de análisis curricular Linda Castañeda Quintero 2010
2. Enseñanza Flexible en Red en la Universidad: Modelo de análisis curricular Flexible eLearning in Higher Education: Model of Curriculum Analysis Doctoranda: Linda Castañeda Quintero Directores: Dra. Mª Paz Prendes Espinosa Dr. Jesús Salinas Ibáñez Departamento de Pedagogía Aplicada y Psicología de la Educación Universitat de les Illes Balears 2010
5. ResearchProcess MODEL OF ANALYSIS FOR CURRICULUM DEVELOPMENT The beginning: 1st part 1st ANALYSIS MODEL Validation by Experts 2004 Request of assessing. UM Online Courses 2004-2005 Review of instruments for collecting data Design of instruments for collecting data New Literature Review Literature Review Revision of elements of assessment Planning of elements of assessment Data collection. Period 2004-200515 online courses Data collection. Period 2007-200818 online courses Beginning of 2nd part Analysis and treatment of the whole data, based on the new model requirements Analysis and treatement of data Report. December 2006 Request of assessing. UM Online Courses 2007-2008 Conclusions about model Request of validating. A more generalizable model DEA. January of 2007 Conclusions about courses Report
6. Objectives Understanding and analyzing the model of curriculum development UM online courses Planning and decision taking Student’s work and use of ICT Influence of curriculum planned elements Changes between different course annual versions Making proposals to improve: participants, institutions ICT tools development and elearning implementation strategy
7. Objectives Building and validating a complete model of curriculum analysis for Higher Education elearning courses Different degrees of virtuality Planning Assessment Development
11. Fundamentación Teórica Modelos de Implementación de TIC en Instituciones de Educación Superior Collis & Van derWende (2002), Kirkuk & Kirkwood (2005), Green (1994-2008), UCISA (2005-2008), CRUE (2004, 2006, 2008 and 2009), Salinas (2004, 2005, 2008), Collis & Gommer (2001), Collis & Moonen (2001), EU Commision (2004), Pedrò (2009) and Area (2000). Cambioasociado a la implementación de TIC en Universidad: ParadojasGuri-Rosenblit(2005), complementadas con Bartolomé(2003 and 2004), Kirkuk & Kirkwood (2005), Escudero (1999), Collis & Van derWende (2002), Fullan (1993 and 2002), Hargreaves & Fullan (1998), Gibbs (1998), Salmon (2000 and 2002), Benetti (1992), Cabero (2002), Cabero et al. (2002), Salinas (1999 and 2004), Martínez (1990), Adell (2004), San Segundo (2002), Prensky (2001), Stephen Acker (1995), Salomon (2002) and Carrion (2005). La Necesidad de reformular los modelos de implementación Meta-análisisnacionales: Escudero, 1983, Area, 1991, 1999, 2002 and 2005; Area & González 2003; Cabero, 1991, 1994, 2001 and 2004; InternacionalesSen-Eng, 2005, Kahiigi et al. 2008, Vergara, 2008 and Molik, 2008 Caberoet al. 2007
12. Fundamentación Teórica Teleenseñanza en la Enseñanza Superior: Concepto Aoki, Fase & Store (1998), Prendes (2005) DimensionesBásicas de la Teleenseñanza Planificación Toohey, 1999; Goodyear, 2005 & Connole et al., 2008 Interactividad De Kerchove, 1998 and Prendes, 2004 Flexibilidad Salinas, 1999 and 2004 Virtualidad Levy, 1999; Martínez & Solano, 2003; Moore, 2000 and Adell, 2004
13. Fundamentación Teórica Curriculum Sinónimo de todo el proceso educativo como globalidad con todas sus determinaciones sociales. Ámbito detoma de decisiones, de reflexión teórica y de prácticas y es además un recurso de planificación Bishop(1985), Fullan (2002), Escudero (1999) Marsh(1997) Pratt, 1980; Escudero, 1997; Franklin et al 2004; Guarro, 1999; Moreno, 1999; Bolivar, 1999; Moreno, 1999; Hewitt, 2006; Kelly, 1982 and 2009; Bishop, 1985; Lawton, 1973; Marsh, 1997; Kelly, 1982; Tanner, 1988; Stenhouse, 1975 and Fullan, 2002 Modelo de Desarrollo Curricular Conole (2007) Conole et al. (2004 and 2008), Bishop (1985), Fullan, 2002), Marsh (1997), Escudero (1999), Pinar (2003) and Hewitt (2006).
14. Fundamentación Teórica EstrategiasDocentes Gimeno (1988), Salinas (2000, 2003, 2004 and 2008), Joyce & Well (2002), Paulsen (1995), Gisbert et al. (1997), Martínez & Prendes (2003), Prendes (1996, 2003 and 2007), Dillenbourg (1999), Berge (1995), Duarte (2003), Mason (1991), Romero & Llorente (2006), Sutton (2001) Jung, Choi, Lim, & Leem (2002), Kearsley (1995), Kelsey & D’souza (2004), Sabry & Baldwin (2003), Berge (1999 and 2002), King y Doerfert (1996), Hillman et al. (1994), Schaffert & Hilzensauer (2008), Attwell (2007),Cabero (1999), Martínez (2004 and 2007), Cabero, Martínez & Salinas (2000) and Martínez et. al. (2002). Evaluación Salinas, Pérez & de Benito (2008), Harland (1996), García (2003), Stuflebeam & Shinkfield (1993), Pratt (1994), Lafourcade (1992), Door-bremmr (1991), airasian (1971), Thorndike (1919), Rowndtree (1974) and García-Sanz (2003).
15. Fundamentación Teórica Contextoscurriculares Escudero (1999), Martínez (2007), Kelly (1982), Bishop (1985), Pratt (1980), Salinas (2004), Martínez & Prendes (2003), Zabalza (1987), Gisbert et al. (1998), Lee, 2008) and Adell (2004). Características y condicionantes de los participantes Rowndtree (1974), Toohey (1999), Marsh (1997), Pratt, (1994), Pratt (1980), Taylor (1975), Block (1971) Rosenthal & Jacobson (1968), Cabero (2004), Prensky (2001) and Condie & Livingstone (2007). Proceso Curricular Objetivos y Contenidos Pratt, 1997; Rowntree, 1974; Zabalza, 1987; Anderson, 2005; Bloom et al, 1956; Krathwohl et al., 1964; Marzano, 1998 and 2001; Marzano & Kendall, 2007; Anderson & Krathwohl, 2001; Anderson, 2005; Marzano et al, 1988 and Churches, 2007 Organización, selección y secuencia de contenidos Zabalza, 1987; Gagné, 1965; Rowndtree, 1974; Toohey, 1999; and Schiro, 1978
47. Conclusiones Objetivo 1 Conocer y analizar el modelo de desarrollo curricular que subyace a cada una de las asignaturas que se ofertan en modalidad virtual en la Universidad de Murcia
60. Conclusions TheModel current map of curriculum integrated model, a single analytical tool all the curriculum elements in a model of teaching using ICT not only useful for elearning useful for analysis, assessing, route mapping
61. FutureSteps Development of ambitious teachers training processes Studying the curriculum to obtain real technology enhanced learning Bridges between curriculum theory and practice
62. Enseñanza Flexible en Red en la Universidad: Modelo de análisis curricular Linda Castañeda Quintero 2010