25,229 research outputs found

    Evaluating the use of lecture capture using a revealed preference approach

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    This article discusses the introduction of lecture capture technology on a large undergraduate module with diverse student cohorts. Literature has so far relied on surveying students to discover their use of the technology or attempted to quantify the impact of watching lecture recordings on assessment performance. Alternatively, the principal contribution of this article is an evaluation of the use of the recorded lectures using a revealed preference approach. Specifically we identify to what extent students watched lecture recordings, rather than simply claimed to watch them when asked to provide comments on the technology. Data indicates the number of distinct students who watched recordings, the frequency with which they watched recordings, the average length of viewings as well as the time of day when lectures were viewed. We monitored viewings over two academic years, identifying ‘spikes’ in the number of viewings in the days before tests, as well as regularities in the viewing patterns across the two years. We analyse the data to assess the extent to which students used the recordings, how and when they watched the recordings. We conclude that the students value lecture recordings, making more extensive use of the recordings than has been identified in the literature to date. Ultimately, lecture recordings are suggested to offer valuable support for students’ independent study

    THE IMPACT OF ON-LINE LECTURE RECORDINGS ON STUDENT PERFORMANCE

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    The use of online lecture recordings as a supplement to physical lectures is an increasingly popular tool at many universities. As its popularity grows, however, there is increasing evidence that some students are using these recordings as a substitute to attending the actual lectures, rather than as a complement that helps them revisit difficult content, or for study purposes. Does this trend matter? If students receive as much (if not more) benefit from viewing their lectures online as they do by attending in person, then this is surely the student’s right. However, this has potentially significant consequences for the delivery of lecture content in higher education. This paper combines survey data with student record data for students in a first year Microeconomics class to examine this issue. The main finding is that, whilst there are indeed some students using online lecture recordings as a substitute to attending lectures, they are ultimately at a fairly severe disadvantage in terms of their final marks. Controlling for a wide variety of student characteristics, we find that, relative to attending zero to six lectures (out of 26), those attending essentially all lectures in person (25 or 26 lectures) have a direct advantage of nearly eight marks. Moreover, students attending zero to six lectures do not close this gap by viewing more lectures online, despite having double the number of lecture recording hits as their colleagues who attended 25-26 lectures. In contrast to this, students who attend the majority of lectures in person do receive a benefit from additional use of the lecture recordings. The results provide evidence that, when used as a complementary tool, lecture recordings are a valuable supplement for students. However, when used as a substitute, lecture recordings provide no additional benefit.

    Does student proactivity guarantee positive academic results?

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    This paper analyzes the impact of students’ proactivity on academic performance based on a sample from students enrolled in an introductory course of Political Economy at the University of Seville (Spain) in three consecutive courses (2014–2015, 2015–2016 and 2016–2017). Proactivity is measured by several indicators, such as class attendance, case-study oral presentation and its delivery in a foreign language, all of them being non-mandatory activities for students who have participated in the experiment. Specifically, this study aims to assess the impact of a student’s proactivity on two academic outcomes: (i) to pass or fail the exam; and (ii) the score obtained. Impact assessment has been performed using a probit and ordered multinomial logit models. The results show that a student’s proactivity measured by class attendance and case-study presentation significantly increases the probability of passing the exam, while the impact of using a foreign language seems to be non-significant. In relation to the score obtained, the proactivity measured through the case presentation raises the probability of obtaining a higher mark more than regular class attendance.Junta de Andalucía proyecto SEJ-132Universidad Autónoma de ChileUniversidad de Sevilla. Departamento de Análisis Económico y Política Económic

    Student time allocation and educational production functions

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    In this paper we aim to remedy some shortcomings in the economic literature on university student absenteeism and academic performance. We start by introducing a simple theoretical model in which students decide the optimal allocation of their time between lecture attendance, self-study and leisure. Under some specific assumptions, we find a positive relationship between lecture attendance and time devoted to self-study in each course, from which we infer that estimates of student performance regressions which omit self-study might be biased. Thus, we estimate an academic performance regression using data from first year undergraduate students of economics in the academic year 1998-99 at the University of Ancona (Italy) and find evidence that once self-study time is controlled for, the positive and significant effect of lecture attendance for some courses disappears. This is likely to be important especially when student performance regressions are used to evaluate the effectiveness of course attendance and to inform the debate on the introduction of mandatory attendance on some courses to enhance student performance.course attendance, student performance, time allocation

    Are we winning?! A team challenge to engage students in the large lecture introductory communication course

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    The development and implementation of a semester‐long team challenge in an introductory level communication course is described. The team challenge was developed to encourage active engagement of students with large lecture material and to build community within lab sections of the course. Teaching assistants were trained to observe and record participation, distraction, and attendance levels in the large lecture portion of a hybrid course, ‘Fundamentals of Communication.’ Assessment of the team challenge as a case study reveals higher levels of verbal participation and attendance, and lower levels of distractions (i.e. use of cell phones, side conversations, late arrivals to class). In addition, there were other unexpected outcomes related to the way in which students were dispersed in the lecture hall. Results are discussed along with implications pertaining to the role of teaching assistants, the utility of competition versus collaboration in academia, and the definition of participation across all student populations

    What do on campus students do with mathematics lecture screencasts at a dual-mode Australian university?

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    The University of Southern Queensland (USQ) is one of Australia's leading distance education providers, with about three quarters of its students enrolled in distance mode. While it can certainly be argued that screencasted lectures extend learning opportunities for students who cannot physically attend classes by providing a near live lecture experience, the question is raised: Would students who were given a choice and purposely enrolled on campus access these recordings, and if so, for what purpose? This paper uses a case study approach to investigate this question with a first year Operations Research course allowing on campus and distance enrolments. Data analysed and matched to follow individual students' behaviours includes lecture attendance rolls, weekly screencast access on the course Moodle site, anonymous solicited student feedback provided by attendees in the last two lectures and a student survey at the end of semester. While a number of students used the recordings to catch up on missed classes, the majority of enrolled students stated that they attended classes because they had decided to enroll on campus rather than in distance mode, as they valued interaction with the lecturers and the ability to receive an immediate answer to questions

    Clickers, Student Engagement and Performance in an Introductory Economics Course: a Cautionary Tale

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    We examine whether clickers affect learning in an introductory economics course when introduced on a limited 'quizzing' basis in a traditional lecture course. Based on early and end of semester surveys, we assess whether clickers are associated with changes in student course performance or changes in student engagement. Using an education production function that controls for student GPA, etc., we find no significant differences between the clicker and nonclicker sections in student attitudes toward attendance, participation or class engagement, nor do we find any difference in exam performance. We conclude instructors should be cautious patching new technologies into traditional lecture courses, and universities cautious in mandating technology use.

    Improving the Success Rate in Statistics.

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    First year statistics is one of the 'problem' subjects in many institutions. At the University of Queensland in the School of Economics it is a compulsory course with a large enrolment, offered in both first and second semesters, and also across two campuses in semester one. Even though the course content, lecturing staff, mode of delivery, tutorials, PASS and online assessment are essentially the same in the two semesters, the outcomes to 2007 have been different. At the St Lucia campus the failure rate in semester 2 was over 10% higher than in semester 1. This paper explores some possible explanations for the difference as well as assessing the success of some of the changes that were implemented from 2007 to 2009.
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