ECON1011 Economics for Business: how is it marked?

Direct answer: ECON1011 has three graded tasks. RiPPLE carries 15% across 3 rounds of 5%. Critique a Celebrity carries 35%: 10% for issue identification and 25% for the video. The final exam carries 50%. The University of Queensland (2026) lists no essay among them.

The Semester 1 2026 course profile (University of Queensland, 2026) sets both the weights and the dates, and the dates carry information the weights hide.

Source: UQ course profile ECON1011-20795-7620, read 2026-10-31.

The 10% task closes on 13 April and the 25% task on 29 May, a gap of 46 days. ECON1011 Economics for Business sits behind 4 learning outcomes, and the fourth, "Communicate economic thinking in non-technical, plain language" (University of Queensland, 2026), is the one the video tests directly. The lecture schedule lists 5 topics, and ECON1011 is a 2-unit course. It is incompatible with ECON1010, ECON2011 and ECON2012, so check this before you enrol.

Direct answer: Few students ever take economics, so the plain-language outcome matters. In the data Stock (2024) analysed, roughly three in four college starters never studied it. For those who do enrol, studies tie marks to attendance and active teaching, though each sample is small and the setting differs from UQ.

Stock (2024) analysed who enrols in introductory economics. The abstract reports that 74 percent of students who began college in 2012 never took economics, up from 62 percent for the 2004 cohort, that 15 percent took "some economics" and 12 percent were "one-and-done" students. About half of introductory students never took another economics class, and only about 2 percent majored in economics. For you, it means most classmates are not future economists, which is why ECON1011 Economics for Business asks for plain language and not for formal proofs.

Teaching studies give a second clue. Balaban et al. (2016) evaluated a flipped classroom in a large principles course and report gains of 0.2 to 0.7 standardized deviations depending on the learning objective. Lin (2018) ran three classroom games with 120 introductory microeconomics students and reports that attendance and exam performance are positively correlated. Szendroi et al. (2022) gamified an economics course of 397 undergraduates and report significant positive effects on all the variables they listed except motivation.

Treat these as signals about engagement. None studied UQ, RiPPLE or a 60-second video, and the abstract of Lin (2018) itself says instructors should weigh the higher costs of game play.

Direct answer: The evidence is mixed: one team associates repeated quizzing with slightly higher final exam scores, and another found online homework did not significantly move the mean exam score. Neither studied RiPPLE itself, so use them only as hints about practice rounds.

Leggett et al. (2022) studied repeated quizzing of basic mathematics concepts in economics classes. Their abstract reports that "Performance with repeated concepts improved across quizzes, and repeated quizzing was associated with slightly higher final exam scores" (Leggett et al., 2022). The word is "associated", not "caused". The other side comes from Mitchell and Mitchell (2017), whose abstract states that "The study found no statistically significant impact of online homework on the mean exam score" (Mitchell & Mitchell, 2017) and adds that the only statistically significant predictor was GPA.

A third study adds a device warning. Di Meo and Martí-Ballester (2020) followed 208 introductory accounting students in Barcelona who completed online quizzes. Students who reported positive perceptions of using mobile phones for the quizzes obtained significantly lower examination scores than their peers, while positive perceptions of computers and tablets did not affect scores. That concerns perceptions, not a proven effect of the phone.

MAAS illustration 1, mark arithmetic. Imagine a student who earns 12 of 15 on RiPPLE, 7 of 10 on issue identification, 15 of 25 on the video and 30 of 50 on the exam, a total of 64 of 100. Moving the video from 15 to 20 adds 5 marks, the same as moving the exam from 30 to 35, so the 25% video deserves planning before the last week. These numbers are an illustration by MAAS, not research data.

Direct answer: Run four checks in order: is the quote eligible, does it hold a positive claim you can test, which course concept explains the mechanism, and what is the verdict (correct, qualify or validate). Our invented migration quote passes the first check, splits in two at the second, and earns a "qualify" verdict.

Take an invented quote written in the style of a politician's post: "Migration is driving rents through the roof, so the government must cut the intake."

Step 1, eligibility. The Semester 1 2026 profile only says the quote was "made last year", and a third-party Semester 2 2025 summary adds extra conditions, so confirm the rule in your own course outline.

Step 2, separate the claims. "Migration is driving rents up" is a positive statement, because data could show it wrong. "The government must cut the intake" is normative, because it says what ought to happen. Your video analyses the first sentence only.

Step 3, name the mechanism. More renters shift the demand curve for rental housing right. If dwellings cannot change quickly, rent rises. State it with ceteris paribus, because interest rates and building approvals also move rents.

Step 4, give the verdict. The mechanism is real, but "driving" claims too much, so the verdict is qualify.

MAAS illustration 2, the 46-day plan. From 13 April to 29 May is 46 days, or 6 weeks and 4 days. Use weeks 1 and 2 to find evidence, weeks 3 and 4 to draft a script of about 150 spoken words, weeks 5 and 6 to rehearse with a timer, and the last 4 days as buffer. The days and word counts are MAAS planning assumptions, not research data.

Direct answer: Short videos are used in first-year economics and students find them engaging but demanding. Arsenis et al. (2022) replaced a 1,000-word written assignment with a three-minute group video. Misreadings still matter: Ng (2016) reports that 67.5% of students held a misconception about allocative efficiency after a year of study.

Arsenis et al. (2022) describe a first-year economics module where a 1,000-word individual written assignment became a group video assignment: small teams created a three-minute video on a contemporary economic issue. Students found it positive, engaging but also challenging. Oranpattanachai (2018) asked Thai engineering students to produce video clips in English and found a high to very high level of perceived satisfaction, but no significant relationship between grades and perceived value (P = .05). ECON1011 Economics for Business differs from both: your video is individual, it is one minute and it comes with a quote.

On the content side, Tang (2003, doi) investigated how commencing economics students understand allocative efficiency. Ng (2016), a teacher-oriented review, cites it for the 67.5% figure and lists 5 sources of misconception, among them prior knowledge, beliefs about economics and the use of graphs. That 67.5% is a secondary figure, so read Tang (2003) in full before quoting it. Chiang and Vazquez (2017) report higher scores for students with narrated feedback in a large microeconomics class, again from an abstract only.

For the rent example, follow one shift to one new equilibrium and stop. Then say it aloud to someone outside the course.

Direct answer: The Semester 1 2026 exam is invigilated and digital on Inspera, and written and printed materials are permitted. Studies of online assessment warn about format effects: Alguacil et al. (2024) found lower scores under webcam proctoring. The profile text we read gave no confirmed duration, so confirm that in your outline.

The profile describes a 50% final exam in the 6 to 20 June window and says written and printed materials are permitted (University of Queensland, 2026). Alguacil et al. (2024) ran a randomized field experiment on monitoring in online exams. Their abstract states that "those students who were proctored via webcam obtained statistically significant lower scores in the final exam" (Alguacil et al., 2024), after controlling for gender, academic degree, instructor, previous score and repeater status. The abstract does not describe Inspera, so it is not a verdict on UQ.

Two more cautions about online delivery. Dendir (2019) compared face-to-face and online students over four semesters, and the abstract reports that "once self-selection is addressed, online students no more outperform F2F students" (Dendir, 2019). Babin et al. (2022) found that students in a hybrid section performed worse than similar students in an online section, which they attribute to mismatched expectations of the blended format.

Open notes change the job rather than remove it. Build one page organised by concept: the definition, the diagram and one line on when it applies. Practise on a screen, because you will sit the paper on one.

Direct answer: Across 13 ERIC studies and 16 findings, the strongest signals are modest: practice quizzes are associated with slightly higher exam scores, short videos engage students, and online or supervised formats can shift results. Every row below keeps its sample, because a number without a sample misleads.

The tables that follow are built only from the abstracts we read. Where an abstract does not name a country or a university, the table says only what the abstract says, and we did not fill gaps from memory. Read them in two steps. First scan the left column to see how different the settings are, from a Barcelona accounting class to a Thai engineering class. Then read the right column as a set of hints for the three kinds of task in ECON1011 Economics for Business, never as a forecast of your own mark. A study with 120 students and one with 397 students do not carry the same weight, so keep the sample in view.

Findings at a glance

Weights against findings

This table lines up the UQ weights with the findings that touch the same kind of task. It uses only numbers already given above, so the percentages come from the course profile and the study signals come from the abstracts. A task with a large share of the mark but thin evidence, such as the 25% video, is where your own testing should replace a borrowed result. A task with a small share but a clearer signal, such as the RiPPLE rounds, is where steady practice costs little. Treat the 50% exam row with the most caution, because the supervised-format studies were run with other software.

Direct answer: Three course-specific mistakes follow from the evidence: treating the 5% RiPPLE rounds as throwaway practice, choosing a quote for how loud it is instead of how testable it is, and meeting the digital exam for the first time on the day.

Mistake 1, skipping practice rounds. Leggett et al. (2022) link repeated quizzing to slightly higher final exam scores. Mitchell and Mitchell (2017) found no significant effect from online homework, so the point is not that any task helps. It is that spaced, repeated practice on the same concepts is the pattern the first study measured.

Mistake 2, a loud quote. Arsenis et al. (2022) report that students found the video challenging. A quote with no testable sentence cannot be saved by good editing, and Ng (2016) shows that even ordinary concepts hide misconceptions. Test the positive claim before you submit.

Mistake 3, a first-time digital exam. Di Meo and Martí-Ballester (2020) tie phone perceptions to lower scores in 208 students, and Alguacil et al. (2024) tie webcam proctoring to lower final exam scores. Neither studied UQ. Both say the delivery mode can matter, so rehearse on the screen and the keyboard you will use.