Zhongzhou Chen

Zhongzhou Chen
University of Central Florida | UCF · Department of Physics

About

42
Publications
4,914
Reads
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308
Citations
Additional affiliations
August 2016 - present
University of Central Florida
Position
  • Professor (Assistant)
Description
  • Online and Physics Education, Educational Data Mining, Learning Analytics. Reforming introductory Physics I course.
August 2013 - June 2016
Massachusetts Institute of Technology
Position
  • PostDoc Position
Description
  • MOOCs and Online AB experiments.
Education
August 2005 - June 2012
University of Illinois, Urbana-Champaign
Field of study
  • Physics Education

Publications

Publications (42)
Article
Full-text available
Success in online and blended courses requires engaging in self-regulated learning (SRL), especially for challenging STEM disciplines, such as physics. This involves students planning how they will navigate course assignments and activities, setting goals for completion, monitoring their progress and content understanding, and reflecting on how the...
Preprint
Full-text available
The study introduces a new analysis scheme to analyze trace data and visualize students' self-regulated learning strategies in a mastery-based online learning modules platform. The pedagogical design of the platform resulted in fewer event types and less variability in student trace data. The current analysis scheme overcomes those challenges by co...
Article
Full-text available
In two earlier studies, we developed a new method to measure students’ ability to transfer physics problem-solving skills to new contexts using a sequence of online learning modules, and implemented two interventions in the form of additional learning modules designed to improve transfer ability. The current paper introduces a new data analysis sch...
Preprint
Full-text available
This paper examines the impact of COVID-19 induced campus closure on university students' self-regulated learning behavior by analyzing click-stream data collected from student interactions with 70 online learning modules in a university physics course. To do so, we compared the trend of six types of actions related to the three phases of self-regu...
Preprint
Full-text available
In two earlier studies, we developed a new method to measure students' ability to transfer physics problem solving skills to new contexts using a sequence of online learning modules, and implemented two interventions in the form of additional learning modules designed to improve transfer ability. The current paper introduces a new data analysis sch...
Conference Paper
Full-text available
Interpretation of student behavior in online learning platforms based on log data is complicated by not being able to directly observe the learner. In this paper, we attempt to identify data patterns that signal either guessing on assessment problems or disengaging from the task for students while working through homework modules in an introductory...
Article
Full-text available
This study examines whether including more contextual information in data analysis could improve our ability to identify the relation between students’ online learning behavior and overall performance in an introductory physics course. We created four linear regression models correlating students’ pass-fail events in a sequence of online learning m...
Preprint
Full-text available
This study examines whether including more contextual information in data analysis could improve our ability to identify the relation between students' online learning behavior and overall performance in an introductory physics course. We created four linear regression models correlating students' pass-fail events in a sequence of online learning m...
Conference Paper
Full-text available
An earlier study using sequences of online learning modules found that a significant fraction of undergraduate students were unable to solve similar new problems after learning from an online problem solving tutorial. The current study examines the effectiveness of two methods to improve students’ subsequent problem solving performance. First, an “...
Conference Paper
Full-text available
We compared students’ learning behavior when completing identical online calculus-based physics homework assignments organized in two ways. One was designed for mastery learning where content is divided into smaller units, and students are required to attempt the assessment once before accessing the content. Students can proceed to the next unit af...
Conference Paper
Full-text available
This study investigates patterns in students’ learning and problem-solving behavior as they proceed through a sequence of 10 mastery-based online learning modules and how these patterns correlate with overall course outcome. Students' interaction with each module, as measured by analyzing the platform log data, was categorized into nine different s...
Preprint
This study investigates patterns in students’ learning and problem-solving behavior as they proceed through a sequence of 10 mastery-based online learning modules and how these patterns correlate with overall course outcome. Students' interaction with each module, as measured by analyzing the platform log data, was categorized into nine different s...
Conference Paper
We compared students’ learning behavior when completing identical online calculus-based physics homework assignments organized in two ways. One was designed for mastery learning where content is divided into smaller units, and students are required to attempt the assessment once before accessing the content. Students can proceed to the next unit af...
Conference Paper
Full-text available
Many existing studies analyzing log data from online learning platforms model events such as accessing a webpage or problem solving as simple binary states. In this study, we combine quality information inferred from the duration of each event with the conventional binary states, distinguishing abnormally brief events from normal or extra-long even...
Preprint
Full-text available
We present a new method for measuring the effectiveness of online learning resources, through the analysis of time-stamped log data of students' interaction with a sequence of online learning modules created based on the concept of mastery learning. Each module was designed to assess students' mastery of one topic before and after interacting with...
Conference Paper
An earlier study using sequences of online learning modules found that a significant fraction of undergraduate students were unable to solve similar new problems after learning from an online problem solving tutorial. The current study examines the effectiveness of two methods to improve students’ subsequent problem solving performance. First, an “...
Conference Paper
Full-text available
The amount of information contained in any educational data set is fundamentally constrained by the instructional conditions under which the data are collected. In this study, we show that by redesigning the structure of traditional online courses, we can improve the ability of educational data mining to provide useful information for instructors....
Conference Paper
The Mechanics Reasoning Inventory (MRI) is an assessment instrument specifically designed to assess strategic reasoning skills involving core concepts in introductory Newtonian mechanics. Being an assessment of higher order thinking (as opposed to declarative or rule-based procedural thinking), it is necessary to check whether or not the mental con...
Article
Full-text available
Previous research on problem diagrams suggested that including a supportive diagram, one that does not provide necessary problem solving information, may bring little, or even negative, benefit to students’ problem solving success. We tested the usefulness of problem diagrams on 12 different physics problems (6A/B experiments) in our massive open o...
Article
Full-text available
This paper presents a detailed study of a form of academic dishonesty that involves the use of multiple accounts for harvesting solutions in a Massive Open Online Course (MOOC). It is termed CAMEO – Copying Answers using Multiple Existence Online. A person using CAMEO sets up one or more harvesting accounts for collecting correct answers; these are...
Article
Full-text available
We conducted two AB experiments (treatment vs. control) in a massive open online course. The first experiment evaluates deliberate practice activities (DPAs) for developing problem solving expertise as measured by traditional physics problems. We find that a more interactive drag-and-drop format of DPA generates quicker learning than a multiple cho...
Conference Paper
Full-text available
The study presented in this paper deals with copying answers in MOOCs. Our findings show that a significant fraction of the certificate earners in the course that we studied have used what we call harvesting accounts to find correct answers that they later submitted in their main account, the account for which they earned a certificate. In total, ~...
Conference Paper
Full-text available
A standard method for measuring learning is to administer the same assessment before and after instruction. This pre/post-test technique is widely used in education research and has been used in our introductory physics MOOC to measure learning. One potential weakness of this paradigm is that post-test performance gains may result from exposure on...
Article
A standard method for measuring learning is to administer the same assessment before and after instruction. This pre/post-test technique is widely used in education research and has been used in our introductory physics MOOC to measure learning. One potential weakness of this paradigm is that post-test performance gains may result from exposure on...
Conference Paper
Recent study shows that providing a problem diagram can hurt students' performance as it reduces the incentive for students to draw their own. We report 6 controlled AB experiments in a MOOC, comparing students' performance and diagram drawing behavior in a total sample of 12 problem pairs. Removing the diagram makes a quarter of the problems sligh...
Article
Full-text available
We report the one of the first applications of treatment/control group learning experiments in MOOCs. We have compared the efficacy of deliberate practice-practicing a key procedure repetitively-with traditional practice on "whole problems". Evaluating the learning using traditional whole problems we find that traditional practice outperforms drag...
Conference Paper
Full-text available
Although many alternatives to lecture-based instruction have been shown to produce better learning outcomes, most MOOCs today still employ largely the same instructional methods and materials used in a traditional, lecture based classroom. Online platforms enable instructors to create innovative instructional methods that are not possible in a trad...
Conference Paper
Massive Open Online Courses (MOOCs) present education researchers with a unique opportunity to do PER, develop educational resources, and compare pedagogies. The MOOC environment has several advantages: the opportunity to apply psychometric and machine learning analyses such as IRT, Hidden Markov Models, student habit clustering, etc. with a large...
Article
The bacterial flagellum is a self-assembling filament, which bacteria use for swimming. It is built from tens of thousands of flagellin monomers in a self-assembly process that involves translocation of the monomers through the flagellar interior, a channel, to the growing tip. Flagellum monomers are pumped into the filament at the base, move unfol...
Article
Flow-induced shear has been identified as a regulatory driving force in blood clotting. Shear induces beta-hairpin folding of the glycoprotein Ibalpha beta-switch which increases affinity for binding to the von Willebrand factor, a key step in blood clot formation and wound healing. Through 2.1-micros molecular dynamics simulations, we investigate...
Article
The impact of fluid flow on structure and dynamics of biomolecules has recently gained much attention. In this article, we present a molecular-dynamics algorithm that serves to generate stable water flow under constant temperature, for the study of flow-induced protein behavior. Flow simulations were performed on the 16-residue beta-switch region o...

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